Voice definition testing method, voice definition testing device and train

Abstract

The invention provides a voice definition testing method, a voice definition testing device and a train. The method comprises the following steps: acquiring in-vehicle layout information and vehicle component setting parameters of a railway vehicle; determining a voice pickup area in the railway vehicle according to the in-vehicle layout information and the vehicle component setting parameters, so as to install sound acquisition equipment in the voice pickup area; generating a target excitation voice signal by using the test sound source under the operation condition that the rail vehicle is at the target vehicle speed, so as to acquire a voice pulse signal by using sound acquisition equipment; for any voice pulse signal, intercepting a target voice signal from the voice pulse signal based on the signal smoothness; and generating in-vehicle voice clear data of the railway vehicle according to the plurality of target voice signals of the different operation conditions.

Description

Technical Field

[0001] The present application relates to the technical field of rail vehicles, and more specifically, to a speech clarity test method, a speech clarity test device, an electronic device, a computer-readable storage medium, a computer program product, and a train for a rail vehicle. Background Art

[0002] With the rapid development of urban rail vehicles both domestically and internationally, higher requirements are being placed on vehicle ride comfort. Passengers need to communicate with each other and use telephones while traveling on rail vehicles, and they need to accurately obtain station announcements and passenger compartment broadcasts from the vehicle's broadcast system. The acquisition of this information is affected by the overall level of noise inside the vehicle during operation. However, as vehicle speeds increase, external noise sources significantly increase, making their impact on interior noise more pronounced and causing significant fluctuations in interior noise levels. Using speech intelligibility metrics to evaluate the accuracy of speech information between passengers and between passengers and passenger compartment broadcasts has become an important research topic.

[0003] In the process of realizing the concept of the present application, it was found that the related art usually determines the position of the sound collection device based on experience when collecting sound, which results in poor accuracy in the test of speech clarity. Summary of the Invention

[0004] In view of this, the present application provides a speech clarity test method for a rail vehicle, a speech clarity test device, an electronic device, a computer-readable storage medium, a computer program product, and a train.

[0005] One aspect of the present application provides a method for testing speech intelligibility of a railway vehicle, comprising:

[0006] Obtaining interior layout information and vehicle component setting parameters of rail vehicles;

[0007] Determining a voice pickup area within the rail vehicle based on the vehicle interior layout information and vehicle component setting parameters, so as to install a sound collection device in the voice pickup area;

[0008] When the rail vehicle is running at a target speed, a target excitation voice signal is generated by a test sound source, and a voice pulse signal is collected by the sound collection device;

[0009] For any of the above-mentioned voice pulse signals, extracting a target voice signal from the above-mentioned voice pulse signal based on signal smoothness;

[0010] Based on the plurality of target voice signals for the different operating conditions, clear voice data inside the rail vehicle is generated.

[0011] Another aspect of the present application provides a speech intelligibility test device for a railway vehicle, comprising:

[0012] An acquisition module, used to acquire interior layout information of a rail vehicle and vehicle component setting parameters;

[0013] A determination module, configured to determine a voice pickup area within the rail vehicle based on the vehicle interior layout information and vehicle component setting parameters, so as to install a sound collection device in the voice pickup area;

[0014] an acquisition module for generating a target excitation voice signal using a test sound source when the rail vehicle is operating at a target speed, so as to acquire a voice pulse signal using the sound acquisition device;

[0015] An interception module, configured to intercept a target voice signal from any of the voice pulse signals based on signal smoothness;

[0016] A generating module is used to generate clear voice data inside the rail vehicle according to the plurality of target voice signals of the different operating conditions.

[0017] Another aspect of the present application provides a train, comprising a speech intelligibility testing device.

[0018] Another aspect of the present application provides an electronic device, comprising:

[0019] one or more processors;

[0020] a memory for storing one or more programs,

[0021] When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described above.

[0022] Another aspect of the present application provides a computer-readable storage medium storing computer-executable instructions, which are used to implement the method described above when executed.

[0023] Another aspect of the present application provides a computer program product, which includes computer-executable instructions. When the instructions are executed, the instructions are used to implement the method described above.

[0024] According to an embodiment of the present application, a voice pickup area within a rail vehicle is determined using the rail vehicle's interior layout information and vehicle component setting parameters, so that a sound collection device is installed in the voice pickup area. A sound source is tested under different target vehicle speed operating conditions to generate a target excitation voice signal. The sound collection device then collects voice pulse signals, and target voice signals are intercepted from the voice pulse signals based on signal smoothness. Multiple target voice signals for each of the different operating conditions are analyzed to obtain in-vehicle voice clarity data for the rail vehicle. Because the voice pickup area for installing the sound collection device is determined using the rail vehicle's interior layout information and vehicle component setting parameters during the voice clarity test, and signal interception is performed based on signal smoothness, the accuracy of voice testing for different types of rail vehicles can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and other objects, features and advantages of the present application will become more apparent through the following description of the embodiments of the present application with reference to the accompanying drawings, in which:

[0026] Figure 1 The following schematically illustrates an exemplary system architecture to which the speech intelligibility testing method according to an embodiment of the present application can be applied;

[0027] Figure 2 The following schematically shows a flow chart of a method for testing speech intelligibility according to an embodiment of the present application;

[0028] Figure 3A The figure schematically shows the installation position of the test sound source in the driver's cab of a subway according to an embodiment of the present application;

[0029] Figure 3B Schematically shows a schematic diagram of the installation position of the test sound source in the driver's cab of an EMU according to an embodiment of the present application;

[0030] Figure 3C Schematic diagram showing the installation positions of the test sound sources in the mechanic's room and the crew room of the EMU according to an embodiment of the present application;

[0031] Figure 4A A schematic diagram illustrating the positions of a test sound source and a voice pickup area at the end of a subway vehicle according to an embodiment of the present application is shown;

[0032] Figure 4B Schematically shows the locations of the test sound source and the voice pickup area at the non-vehicle end of a subway according to an embodiment of the present application;

[0033] Figure 4C Schematically shows the locations of the test sound source and voice pickup area in the standing area of a subway according to an embodiment of the present application;

[0034] Figure 5A Schematically shows the installation position diagram of the test sound source and the sound collection device at the seat area of the EMU according to an embodiment of the present application;

[0035] Figure 5B Schematically shows the installation position diagram of the test sound source and the sound collection device at the seat area of an EMU according to another embodiment of the present application;

[0036] Figure 5C Schematically shows a specific installation diagram of a test sound source and a sound collection device for the seat area of an EMU according to an embodiment of the present application;

[0037] Figure 6 A block diagram schematically shows a speech intelligibility test device according to an embodiment of the present application; and

[0038] Figure 7 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present application is schematically shown. DETAILED DESCRIPTION

[0039] Hereinafter, embodiments of the present application will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present application. In the detailed description below, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present application. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present application.

[0040] The terms used herein are only for describing specific embodiments and are not intended to limit this application. The terms "comprise," "include," etc. used herein indicate the presence of the features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0041] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0042] When expressions such as "at least one of A, B, and C, etc." are used, they should generally be interpreted in accordance with the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0043] In related technologies, when testing the voice clarity inside rail vehicles, testers usually install sound collection equipment at a certain location on the rail vehicle based on previous experience or arbitrarily. This setting is unrepresentative and has a high degree of randomness, without considering the differences in the layout of equipment and vehicle components inside different rail vehicles. As a result, the final test results are less accurate.

[0044] In view of this, an embodiment of the present application provides a speech clarity test method, a speech clarity test device and a train, the method comprising obtaining the interior layout information and vehicle component setting parameters of a rail vehicle; determining the voice pickup area inside the rail vehicle based on the interior layout information and vehicle component setting parameters, so as to install a sound collection device in the voice pickup area; when the rail vehicle is operating at a target speed, using a test sound source to generate a target excitation voice signal, so as to use a sound collection device to collect a voice pulse signal; for any voice pulse signal, intercepting a target voice signal from the voice pulse signal based on signal smoothness; and generating the rail vehicle's interior voice clarity data based on multiple target voice signals for different operating conditions.

[0045] In the embodiments of this application, the collection, updating, analysis, processing, use, transmission, provision, disclosure, and storage of all data involved (including, but not limited to, user personal information) comply with relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures have been taken to prevent unauthorized access to user personal information data and maintain the security of user personal information and network security.

[0046] Figure 1 The following schematically illustrates an exemplary system architecture 100 to which the speech intelligibility test method according to an embodiment of the present application can be applied. Figure 1 What is shown is merely an example of a system architecture to which the embodiments of the present application can be applied, to help those skilled in the art understand the technical content of the present application, but does not mean that the embodiments of the present application cannot be used in other devices, systems, environments or scenarios.

[0047] like Figure 1As shown, the system architecture 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, a server 105, and a train 106. The network 104 is a medium for providing a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired and / or wireless communication links, etc.

[0048] A user may use a first terminal device 101, a second terminal device 102, or a third terminal device 103 to interact with a server 105 via a network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, or the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, and / or social platform software (for example only).

[0049] The first terminal device 101 , the second terminal device 102 , and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0050] The server 105 may be a server that provides various services, such as a background management server (for example only) that supports websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process received data such as user requests, and feed back processing results (e.g., web pages, information, or data obtained or generated based on user requests) to the terminal devices.

[0051] The train 106 may be any train that needs to obtain electric energy from a high-voltage power grid, such as a high-speed train, a motor vehicle, a subway, etc. The train 106 is equipped with a test sound source and a sound collection device.

[0052] It should be noted that the speech clarity test method provided in the embodiment of the present application can generally be performed by the server 105. Accordingly, the speech clarity test device provided in the embodiment of the present application can generally be set in the server 105. The speech clarity test method provided in the embodiment of the present application can also be performed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the speech clarity test device provided in the embodiment of the present application can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Alternatively, the speech clarity test method provided in the embodiment of the present application can also be performed by the first terminal device 101, the second terminal device 102, or the third terminal device 103, or can also be performed by other terminal devices different from the first terminal device 101, the second terminal device 102, or the third terminal device 103. Accordingly, the speech clarity testing device provided in the embodiment of the present application can also be set in the first terminal device 101, the second terminal device 102 or the third terminal device 103, or in other terminal devices different from the first terminal device 101, the second terminal device 102 or the third terminal device 103.

[0053] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is merely illustrative. Any number of terminal devices, networks and servers may be provided as required.

[0054] Figure 2 The flowchart of the speech intelligibility testing method according to an embodiment of the present application is schematically shown.

[0055] like Figure 2 As shown, the speech clarity test method for a rail vehicle includes operations S201 to S205.

[0056] In operation S201 , interior layout information and vehicle component setting parameters of a rail vehicle are acquired.

[0057] In operation S202 , a voice pickup area inside the rail vehicle is determined based on the vehicle interior layout information and vehicle component setting parameters, so as to install a sound collection device in the voice pickup area.

[0058] In operation S203 , when the rail vehicle is running at a target speed, a target excitation voice signal is generated by using a test sound source, and a voice pulse signal is collected by using a sound collection device.

[0059] In operation S204 , for any speech pulse signal, a target speech signal is extracted from the speech pulse signal based on signal smoothness.

[0060] In operation S205 , in-vehicle speech clarity data of the rail vehicle is generated according to the plurality of target speech signals corresponding to the different operating conditions.

[0061] According to embodiments of the present application, rail vehicles may include high-speed trains, conventional trains, subways, and other vehicles traveling on tracks. Vehicle interior layout information may refer to the vehicle's dimensions and the layout of internal equipment such as seats. Vehicle component configuration parameters may refer to the installation locations of components such as the vehicle's bogie, doors, windows, and wheels.

[0062] According to an embodiment of the present application, the signal smoothness index refers to the smoothness of the speech pulse signal in the time series. The target vehicle speed may refer to a plurality of vehicle speeds including zero speed and non-zero speed.

[0063] According to an embodiment of the present application, when testing the voice clarity of a certain type of rail vehicle, the interior layout information and vehicle component setting parameters of the rail vehicle can first be obtained from the database, and the interior layout information and vehicle component setting parameters can be analyzed to determine the optimal voice pickup area, so that a microphone or other sound collection device can be installed in the voice pickup area, for example, the microphone can be installed in the sitting area of the driver's cab.

[0064] According to an embodiment of the present application, after the sound collection device is installed, a test sound source, i.e., a sound-emitting device, needs to be installed in the rail vehicle. It can be installed at a preset distance from the sound collection device, for example, 430±50 mm from the sound collection device, to simulate a voice interaction scenario between two passengers, or the sound source can be installed at the speaker of the rail vehicle to simulate a scenario in which the driver's cab broadcasts information to passengers.

[0065] According to an embodiment of the present application, a target excitation voice signal is emitted by an installed sound source. At this time, the voice pulse signals corresponding to different operating conditions can be collected by the sound collection equipment, and the target voice signal is intercepted from each voice pulse signal based on the signal smoothness. In this way, the in-vehicle voice clarity data of the rail vehicle is generated according to the multiple target voice signals of different operating conditions.

[0066] According to an embodiment of the present application, a voice pickup area within a rail vehicle is determined using the rail vehicle's interior layout information and vehicle component setting parameters, so that a sound collection device is installed in the voice pickup area. A sound source is tested under different target vehicle speed operating conditions to generate a target excitation voice signal. The sound collection device then collects voice pulse signals, and target voice signals are intercepted from the voice pulse signals based on signal smoothness. Multiple target voice signals for each of the different operating conditions are analyzed to obtain in-vehicle voice clarity data for the rail vehicle. Because the voice pickup area for installing the sound collection device is determined using the rail vehicle's interior layout information and vehicle component setting parameters during the voice clarity test, and signal interception is performed based on signal smoothness, the accuracy of voice testing for different types of rail vehicles can be improved.

[0067] According to an embodiment of the present application, the in-vehicle layout information includes interior space dimension information and interior seat layout information.

[0068] According to an embodiment of the present application, the voice pickup area inside the rail vehicle is determined based on the in-vehicle layout information and vehicle component setting parameters, including: calculating the sound transmission data of different in-vehicle areas in the vehicle based on the internal space size information and the internal seat layout information; and determining the voice pickup area inside the rail vehicle based on multiple sound transmission data and vehicle component setting parameters.

[0069] According to an embodiment of the present application, each carriage of a rail vehicle is generally a cylindrical structure and can be approximately regarded as a cube. Therefore, the internal space dimensions of the rail vehicle can be expressed as length × width × height. The internal seat layout information can refer to the position mark of each seat on the plan view of the carriage, wherein multiple seats are arranged opposite each other or in the same direction, and the seat layout of the driver's cab also needs to be marked.

[0070] According to the embodiments of the present application, since rail vehicles travel on tracks, their main noise source is wheel-rail noise, which is transmitted into the vehicle through leakage points and structural transmission. The noise at the ends of the vehicle is usually higher than the noise in the middle. Therefore, based on the internal space size information and the internal seat layout information, the sound transmission data of different areas in the vehicle are calculated, such as the sound transmission data of the ends of the vehicle, the seats, and the standing area.

[0071] According to an embodiment of the present application, the sound transmission data can be represented by a scoring value. Specifically, a multimodal model can be used to process and analyze the interior space dimension information and the interior seat layout information to provide sound transmission data for different areas within the vehicle.

[0072] According to an embodiment of the present application, after obtaining sound transmission data, vehicle component setting parameters, such as the material of the seats, the installation locations of components such as the vehicle's bogie, doors, windows, and wheels, are combined to analyze the noise impact of the rail vehicle during operation, thereby determining the voice pickup area from multiple areas within the vehicle. Generally, at least three voice pickup areas are selected, corresponding to the specific coordinate positions of the end of the car, the seat, and the standing area, such as the coordinates of the center of a seat. The coordinate position also displays the target height, that is, the sound collection device needs to be installed at the target height of the voice pickup area to collect signals.

[0073] In one specific embodiment, the specific location of the voice pickup area should be considered when installing the sound collection equipment. Specifically, for testing in the seating area, the sound collection equipment is placed at a height of 1.2 meters above the upper surface of the floor (i.e., the target height), with the measurement point located directly in the center of the seat. For testing in the standing area, the sound collection equipment is placed at a height of 1.6 meters above the upper surface of the floor (i.e., the target height). The test sound source is placed at the microphone used for broadcasting in the driver's cab or passenger compartment, with the sound-emitting surface flush with the microphone surface, and the distance between the two should be the same as that used for normal speaking, for example, 10 cm.

[0074] According to an embodiment of the present application, the vehicle component setting parameters include bogie position parameters, wheel position parameters, and door position parameters.

[0075] According to an embodiment of the present application, a voice pickup area inside a rail vehicle is determined based on multiple sound transmission data and vehicle component setting parameters, including: for any in-vehicle area, noise impact data is determined based on bogie position parameters, wheel position parameters and door position parameters; an area test coefficient of the in-vehicle area is calculated based on the noise impact data and the sound transmission data corresponding to the in-vehicle area; and when the area test coefficient satisfies a preset coefficient range, the in-vehicle area is determined as a voice pickup area.

[0076] According to the embodiments of the present application, since the main noise sources of a rail vehicle when it is traveling are the bogie installed at the end of the car, the noise of the wheels running on the rails, and the friction noise between the doors and the outside air, the noise impact data can be determined based on the bogie position parameters, wheel position parameters, and door position parameters. The noise impact data can reflect the amount of noise received when the rail vehicle is traveling. For example, the value of the noise impact data at the door is large, mainly because the gap between the door and the vehicle will generate greater noise when traveling.

[0077] According to the embodiments of the present application, since rail vehicles use more sound-absorbing materials, such as double-layer glass and soft-packing materials for seats, different areas inside the vehicle have different sound transmission data. At this time, a comprehensive analysis of it with the noise impact data can obtain the regional test coefficient of the area inside the vehicle. The regional test coefficient can indicate the degree of interference received by the noise in the area inside the vehicle when the rail vehicle is running.

[0078] According to an embodiment of the present application, by considering the noise generated by the positions of different vehicle components of the rail vehicle and combining the sound transmission data at different areas of the rail vehicle, the voice pickup area determined thereby can better test the voice clarity, thereby improving the accuracy of the voice clarity test.

[0079] According to an embodiment of the present application, a target excitation voice signal is generated using a test sound source, including: generating a target pulse signal based on a preset frequency range; applying the target pulse signal to the test sound source to stimulate the test sound source to generate the target excitation voice signal.

[0080] According to an embodiment of the present application, the preset frequency range can be specifically set according to actual needs, for example, it can include 125~8000Hz and 0.63~12.5Hz.

[0081] According to an embodiment of the present application, when conducting a speech clarity test, the test sound source is first installed at the test position. For example, for the test of the seat area, when the test position is at an adjacent seat position, the test sound source is placed at the same height as the microphone measuring point, and the distance between the test sound source and the microphone is kept at the width of one seat. The test sound source should be facing the microphone installed at the speech pickup area; when the test position is at a seat position arranged oppositely, to evaluate the speech clarity during the language interaction between two face-to-face passengers, it is necessary to arrange the microphone at the corresponding position and arrange the test sound source at the opposite seat position.

[0082] According to an embodiment of the present application, after the test sound source is installed, a target pulse signal generated based on a preset frequency range is applied to the test sound source, which can stimulate the test sound source to generate a target excitation voice signal. At this time, a microphone can be used to collect the corresponding voice pulse signal.

[0083] According to an embodiment of the present application, the preset frequency range includes a first target frequency range and a second target frequency range.

[0084] According to an embodiment of the present application, a target pulse signal is generated based on a preset frequency range, including: generating multiple first debugging signals with different first frequencies according to a first target frequency range; generating multiple second debugging signals with different second frequencies according to a second target frequency range; and generating a target pulse signal based on multiple first debugging signals and multiple second debugging signals.

[0085] According to an embodiment of the present application, specific values of the first target frequency range and the second target frequency range can be set according to actual conditions. For example, the first target frequency range is 125~8000Hz, and the second target frequency range is 0.63~12.5Hz.

[0086] According to the embodiments of the present application, the excitation signal required in the related art is a noise signal accumulated from 98 modulation signals consisting of 7 reference frequencies based on an octave of 125 to 8000 Hz and 14 modulation frequencies of 0.63 to 12.5 Hz. Because modulating the signal of a certain frequency band will affect the signals of other frequency bands, the 98 modulation signals cannot be completed at one time, and the corresponding number of tests will also increase.

[0087] According to an embodiment of the present application, this embodiment only needs to collect and analyze 7 reference frequencies based on the simplified octave of 125~8000Hz (i.e., the first target frequency range) and use 2 modulation frequencies at each frequency in 0.63~12.5Hz (i.e., the second target frequency range) to generate multiple first debugging signals with different first frequencies and multiple second debugging signals with different second frequencies. The use of the target pulse signal can complete the required multiple first debugging signals and multiple second debugging signals at one time, thereby effectively shortening the test time.

[0088] Figure 3A The figure schematically shows the installation position of the test sound source in the driver's cab of a subway according to an embodiment of the present application. Figure 3B The figure schematically shows the installation position of the test sound source in the driver's cab of the EMU according to an embodiment of the present application. Figure 3C The figure schematically shows the installation positions of the test sound sources in the mechanic's room and the crew room of the EMU according to an embodiment of the present application.

[0089] According to an embodiment of the present application, when a rail vehicle is in an operating condition at a target speed, a test sound source is used to generate a target excitation voice signal, so that a voice pulse signal is collected using a sound collection device, including: when the rail vehicle is in a stationary condition where the target speed is zero, a first voice signal is collected using a sound collection device; when the rail vehicle is at any speed where the target speed is not zero, a second voice signal corresponding to a different speed is collected using a sound collection device, wherein the voice pulse signal includes a first voice signal and multiple second voice signals.

[0090] According to the embodiments of the present application, in order to reduce the impact of environmental noise, the test should be conducted in a quiet test site with no abnormal noise interference in the surrounding area, and the background noise should be at least 10dB lower than the sound pressure level of the pulse signal during the test. The rail vehicle to be tested should be in a ready state, with doors, windows, etc. in closed state. During the test, all auxiliary equipment such as the air conditioning and electrical system of the rail vehicle should be in a normally open state. Except for the test personnel, there should be no other personnel at the test site. At this time, the sound collection equipment can be used to collect the first voice signal under static conditions.

[0091] In a specific embodiment, Figure 3A As shown, in the case where the rail vehicle is a subway, after the sound collection equipment and the test sound source are arranged, the broadcasting system is turned on and the volume of the passenger compartment broadcasting system is at a normal level. The test sound sources (sound source 1 and sound source 2 in the figure) sound the microphone of the broadcasting system as required. The sound source signal used for sounding adopts the same target pulse signal as that used in the language interaction scenario between passengers. The target pulse signal is an intermittent pulse signal. While the test sound source is sounding, a microphone and other sound collection equipment are used to collect voice pulse signals in different voice pickup areas in the passenger compartment. Each set of target pulse signals tested should contain at least one complete pulse signal and an interval, and each voice pickup area is tested at least three times effectively. Similar to the subway, the rail vehicle is an EMU, and the test sound source can be set in the driver's cab of the EMU. The specific location is as follows: Figure 3B As shown in the figure, for EMU, test sound sources can also be placed in the mechanic's room and crew room, such as Figure 3C As shown, it simulates the scene where the locomotive crew announces information to the passengers.

[0092] According to an embodiment of the present application, under non-stationary operating conditions at any speed, the rail vehicle under test should be in a ready state, with doors and windows closed. At the same time, all auxiliary equipment, such as the air conditioning and electrical systems, should be in a normally open state. Preferably, other people can be carried in the vehicle to simulate normal rail vehicle operation. At this time, while the test sound source emits the target excitation voice signal, the sound collection device collects a second voice signal under non-stationary operating conditions.

[0093] According to an embodiment of the present application, for any speech pulse signal, a target speech signal is intercepted from the speech pulse signal based on signal smoothness, including: intercepting an initial speech signal with a signal drop from the speech pulse signal; calculating the signal smoothness at each moment in the initial speech signal based on a tension spline function method; intercepting an intermediate speech signal from the initial speech signal according to multiple signal smoothnesses; and filtering the intermediate speech signal to obtain a target speech signal, wherein the target language signal includes multiple speech signals of different frequencies corresponding to the target excitation speech signal.

[0094] According to an embodiment of the present application, the tension spline method involves adjusting the curve's shape to make it appear smoother while passing through given discrete points, subject to certain mathematical conditions. The signal smoothness index is used to measure the smoothness of a signal in a time series.

[0095] According to an embodiment of the present application, based on the rise and fall of a speech pulse signal, an initial speech signal exhibiting a fall is intercepted from the speech pulse signal. The signal smoothness of the initial speech signal at each moment is calculated using a tension spline function method, and an intermediate speech signal is intercepted from the initial speech signal based on the signal smoothness. The overall smoothness of the intermediate speech signal is greater than a preset threshold, which may be 0.8.

[0096] According to an embodiment of the present application, the target speech signal is obtained by filtering the selected intermediate speech signal and selecting the required modulation frequencies of the first frequency and the second frequency.

[0097] According to an embodiment of the present application, based on multiple target voice signals for different operating conditions, in-vehicle voice clarity data of a rail vehicle is generated, including: for each operating condition, performing spectrum conversion on multiple voice signals corresponding to the operating condition to obtain multiple voice spectrum data; for each voice spectrum data, substituting the voice spectrum data into a modulation transfer function to obtain voice transfer data; performing weighted calculation on the multiple voice transfer data to obtain the voice clarity of the corresponding operating condition; and generating in-vehicle voice clarity data based on the multiple voice clarity data.

[0098] According to an embodiment of the present application, a modulation transfer function (MTF) is a function that takes into account the modulation characteristics of a speech signal and the response characteristics of the auditory system.

[0099] According to an embodiment of the present application, the operating conditions include a stationary condition and non-prohibited conditions corresponding to different vehicle speeds. For each operating condition, the speech signal is firstly spectrally converted to obtain speech spectrum data corresponding to the speech signal.

[0100] According to an embodiment of the present application, speech spectrum data is substituted into a modulation transfer function to obtain speech transfer data. Multiple speech transfer data are then weighted to obtain speech clarity for corresponding operating conditions. Finally, these multiple speech clarity values are weighted to generate in-vehicle speech clarity data. The in-vehicle speech clarity data indicates how the strength of the speech signal relative to background noise affects speech intelligibility.

[0101] In the above embodiment, the test sound source is a directional sound source that accepts external signal input. The sound produced by the test sound source meets the requirement of a sound pressure level of 60dB at a distance of 1m. Furthermore, the test sound source is provided with two different gears, high and low, to accommodate different sound pressure level testing requirements. The length, width, and height of the test sound source do not exceed 20cm, making it lightweight and portable. It also features threaded holes on the bottom for tripod mounting, accommodating installation and testing requirements at various heights.

[0102] According to an embodiment of the present application, the sound collection device can be a microphone, a high-fidelity reverberation field microphone. Because the reverberation field inside a rail vehicle is non-uniform, the impact of reverberation noise can have a certain impact on test results, so a reverberation field microphone is necessary. The microphone is also equipped with a dedicated, height-adjustable tripod and adapter cable, allowing for testing at different heights.

[0103] Figure 4A The figure schematically shows the positions of the test sound source and the voice pickup area at the vehicle end of a subway according to an embodiment of the present application. Figure 4B The figure schematically shows the positions of the test sound source and the voice pickup area at the non-vehicle end of the subway according to an embodiment of the present application. Figure 4C The schematic diagram of the position of the test sound source and the voice pickup area in the standing area of the subway according to the embodiment of the present application is shown schematically. The microphone in FIG4 is a sound collection device, and the sound source is the test sound source.

[0104] In a specific embodiment, when the rail vehicle is a subway, the voice pickup area inside the rail vehicle is determined according to the interior layout information of the subway and the vehicle component setting parameters. The voice pickup area can be Figure 4A The scene of simulated passenger voice interaction in the car compartment at the end of the vehicle shown on the left and Figure 4B The standing area of the non-end carriage shown in the middle simulates the scene of standing passengers interacting with each other. For example, the test sound source and sound collection equipment are set on two adjacent or opposite seats. The voice pickup area can also be Figure 4A The standing area at the end of the vehicle shown in the middle right simulates the scene of standing passengers interacting with voice, and Figure 4B The standing area of the non-end car shown in the middle simulates a scenario where standing passengers conduct voice interaction.

[0105] According to the embodiments of the present application, Figure 4CAs shown, when simulating a scenario in which passengers in the standing area interact with passengers in the seating area in a subway, a test sound source can be installed at the sound source installation position in the seating area using a tripod, and the installation height can be 1.2m. At the same time, a sound collection device is also installed in the voice pickup area determined in the standing area using a tripod, and the installation height is 1.6m.

[0106] Figure 5A The figure schematically shows the installation position diagram of the test sound source and the sound collection equipment in the seat area of the EMU according to the embodiment of the present application. Figure 5B The figure schematically shows the installation position diagram of the test sound source and the sound collection equipment in the seat area of the EMU according to another embodiment of the present application. Figure 5C The specific installation diagram of the seat area test sound source and sound collection equipment of the EMU according to the embodiment of the present application is schematically shown.

[0107] In another specific embodiment, when the rail vehicle is an EMU, the voice pickup area inside the rail vehicle is determined according to the interior layout information of the EMU and the vehicle component setting parameters. The voice pickup area can be one of two adjacent seats in the seating area, and a test sound source is set on the other seat to simulate a scene of voice communication between two passengers, such as Figure 5A and Figure 5B To simulate two passengers more accurately, this embodiment can use a tripod to install the test sound source and microphone and other sound collection equipment at the target height (such as 1200mm), see Figure 5C .

[0108] In the above two embodiments, after the test sound source and the sound collection equipment are installed, the rail vehicle can be tested using the speech clarity test method of the embodiment of the present application to obtain the in-vehicle speech clarity data of the rail vehicle.

[0109] Figure 6 The following schematically shows a block diagram of a speech intelligibility testing device according to an embodiment of the present application.

[0110] like Figure 6 As shown, the speech intelligibility testing device 600 for a rail vehicle includes an acquisition module 610 , a determination module 620 , a collection module 630 , an interception module 640 , and a generation module 650 .

[0111] The acquisition module 610 is used to acquire the interior layout information of the rail vehicle and the vehicle component setting parameters.

[0112] The determination module 620 is used to determine the voice pickup area inside the rail vehicle according to the vehicle interior layout information and vehicle component setting parameters, so as to install the sound collection device in the voice pickup area.

[0113] The acquisition module 630 is used to generate a target excitation voice signal using a test sound source when the rail vehicle is operating at a target speed, so as to acquire a voice pulse signal using a sound acquisition device.

[0114] The interception module 640 is configured to intercept a target speech signal from any speech pulse signal based on signal smoothness.

[0115] The generating module 650 is used to generate the in-vehicle speech clarity data of the rail vehicle according to the plurality of target speech signals of the different operating conditions.

[0116] According to an embodiment of the present application, a voice pickup area within a rail vehicle is determined using the rail vehicle's interior layout information and vehicle component setting parameters, so that a sound collection device is installed in the voice pickup area. A sound source is tested under different target vehicle speed operating conditions to generate a target excitation voice signal. The sound collection device then collects voice pulse signals, and target voice signals are intercepted from the voice pulse signals based on signal smoothness. Multiple target voice signals for each of the different operating conditions are analyzed to obtain in-vehicle voice clarity data for the rail vehicle. Because the voice pickup area for installing the sound collection device is determined using the rail vehicle's interior layout information and vehicle component setting parameters during the voice clarity test, and signal interception is performed based on signal smoothness, the accuracy of voice testing for different types of rail vehicles can be improved.

[0117] According to an embodiment of the present application, the in-vehicle layout information includes interior space dimension information and interior seat layout information.

[0118] According to an embodiment of the present application, the determination module 620 includes a first calculation unit and a determination unit.

[0119] The first calculation unit is used to calculate the sound transmission data of different interior areas of the vehicle according to the interior space size information and the interior seat layout information.

[0120] The determining unit is used to determine a voice pickup area inside the rail vehicle according to a plurality of sound transmission data and vehicle component setting parameters.

[0121] According to an embodiment of the present application, the vehicle component setting parameters include bogie position parameters, wheel position parameters, and door position parameters.

[0122] According to an embodiment of the present application, the determining unit includes a first determining subunit, a calculating subunit, and a second determining subunit.

[0123] The first determining subunit is used to determine noise impact data for any area inside the vehicle according to bogie position parameters, wheel position parameters and door position parameters.

[0124] The calculation subunit is used to calculate the area test coefficient of the area inside the vehicle based on the noise impact data and the sound transmission data corresponding to the area inside the vehicle.

[0125] The second determining subunit is configured to determine the in-vehicle area as the voice pickup area when the area test coefficient satisfies a preset coefficient range.

[0126] According to an embodiment of the present application, the acquisition module 630 includes a first generation unit and an excitation unit.

[0127] The first generating unit is configured to generate a target pulse signal based on a preset frequency range.

[0128] The excitation unit is used to apply the target pulse signal to the test sound source to excite the test sound source to generate the target excitation voice signal.

[0129] According to an embodiment of the present application, the preset frequency range includes a first target frequency range and a second target frequency range.

[0130] According to an embodiment of the present application, the first generation unit includes a first generation sub-unit, a second generation sub-unit, and a third generation sub-unit.

[0131] The first generating subunit is configured to generate a plurality of first debugging signals with different first frequencies according to a first target frequency range.

[0132] The second generating subunit is configured to generate a plurality of second debugging signals with different second frequencies according to a second target frequency range.

[0133] The third generating subunit is used to generate a target pulse signal according to the multiple first debugging signals and the multiple second debugging signals.

[0134] According to an embodiment of the present application, when the rail vehicle is operating at a target speed, the acquisition module 630 further includes a first acquisition unit and a second acquisition unit.

[0135] The first acquisition unit is used to acquire a first voice signal using a sound acquisition device when the rail vehicle is in a stationary condition with a target vehicle speed of zero.

[0136] The second acquisition unit is used to collect second voice signals corresponding to different vehicle speeds using a sound acquisition device when the rail vehicle is at any vehicle speed other than the target speed of zero, wherein the voice pulse signal includes a first voice signal and multiple second voice signals.

[0137] According to an embodiment of the present application, the interception module 640 includes a first interception unit, a second calculation unit, a second interception unit, and a filtering unit.

[0138] The first intercepting unit is used for intercepting the initial voice signal with a falling signal from the voice pulse signal.

[0139] The second calculation unit is used to calculate the signal smoothness of the initial speech signal at each moment based on the tension spline function method.

[0140] The second interception unit is used to intercept the intermediate speech signal from the initial speech signal according to multiple signal smoothness levels.

[0141] The filtering unit is used to perform filtering processing on the intermediate speech signal to obtain a target speech signal, wherein the target language signal includes a plurality of speech signals of different frequencies corresponding to the target excitation speech signal.

[0142] According to an embodiment of the present application, the generation module 650 includes a conversion unit, an acquisition unit, a third calculation unit, and a second generation unit.

[0143] The conversion unit is used to perform spectrum conversion on multiple voice signals related to each operating condition to obtain multiple voice spectrum data.

[0144] The obtaining unit is used for substituting the speech spectrum data into the modulation transfer function for each speech spectrum data to obtain speech transfer data.

[0145] The third calculation unit is used to perform weighted calculation on the multiple voice transmission data to obtain the voice clarity corresponding to the operating condition.

[0146] The second generating unit is configured to generate in-vehicle speech clarity data according to the multiple speech intelligibility levels.

[0147] According to the embodiments of the present application, any number of modules, submodules, units, and subunits, or at least part of the functions of any number of them, can be implemented in one module. According to the embodiments of the present application, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present application, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging the circuit, or can be implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, according to the embodiments of the present application, one or more of the modules, submodules, units, and subunits can be at least partially implemented as a computer program module, which can perform the corresponding functions when the computer program module is executed.

[0148] It should be noted that the speech clarity test device part in the embodiment of the present application corresponds to the speech clarity test method part in the embodiment of the present application. The description of the speech clarity test device part specifically refers to the speech clarity test method part, which will not be repeated here.

[0149] According to an embodiment of the present application, the train includes a speech intelligibility testing device.

[0150] According to an embodiment of the present application, a voice pickup area within a rail vehicle is determined using the rail vehicle's interior layout information and vehicle component setting parameters, so that a sound collection device is installed in the voice pickup area. A sound source is tested under different target vehicle speed operating conditions to generate a target excitation voice signal. The sound collection device then collects voice pulse signals, and target voice signals are intercepted from the voice pulse signals based on signal smoothness. Multiple target voice signals for each of the different operating conditions are analyzed to obtain in-vehicle voice clarity data for the rail vehicle. Because the voice pickup area for installing the sound collection device is determined using the rail vehicle's interior layout information and vehicle component setting parameters during the voice clarity test, and signal interception is performed based on signal smoothness, the accuracy of voice testing for different types of rail vehicles can be improved.

[0151] Figure 7 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present application is schematically shown. Figure 7 The electronic device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0152] like Figure 7 As shown, the electronic device 700 according to an embodiment of the present application includes a processor 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage unit 708 into a random access memory (RAM) 703. The processor 701 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 701 may also include onboard memory for caching purposes. The processor 701 may include a single processing unit or multiple processing units for performing different actions of the method flow according to the embodiment of the present application.

[0153] Various programs and data required for the operation of the electronic device 700 are stored in the RAM 703. The processor 701, ROM 702, and RAM 703 are connected to each other via a bus 704. The processor 701 performs various operations of the method flow according to the embodiment of the present application by executing the programs in the ROM 702 and / or RAM 703. It should be noted that the programs may also be stored in one or more memories other than the ROM 702 and the RAM 703. The processor 701 may also perform various operations of the method flow according to the embodiment of the present application by executing the programs stored in the one or more memories.

[0154] According to an embodiment of the present application, electronic device 700 may further include an input / output (I / O) interface 705, which is also connected to bus 704. Electronic device 700 may also include one or more of the following components connected to I / O interface 705: an input section 706 including a keyboard, mouse, etc.; an output section 707 including devices such as a cathode ray tube (CRT), liquid crystal display (LCD), and speakers; a storage section 708 including a hard disk; and a communication section 709 including a network interface card such as a LAN card or modem. Communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to I / O interface 705 as needed. Removable media 711, such as a magnetic disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed in drive 710 as needed, so that computer programs read from the removable media can be installed into storage section 708 as needed.

[0155] According to an embodiment of the present application, the method flow according to the embodiment of the present application can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 709, and / or installed from the removable medium 711. When the computer program is executed by the processor 701, the above-mentioned functions defined in the system of the embodiment of the present application are executed. According to an embodiment of the present application, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0156] This application also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments, or may exist independently and not be incorporated into the device / apparatus / system. The computer-readable storage medium carries one or more programs, and when the one or more programs are executed, the method according to the embodiments of this application is implemented.

[0157] According to embodiments of the present application, a computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples include, but are not limited to, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0158] An embodiment of the present application also includes a computer program product, which includes a computer program, which contains program code for executing the method provided by the embodiment of the present application. When the computer program product is run on an electronic device, the program code is used to enable the electronic device to implement the method provided by the embodiment of the present application.

[0159] When the computer program is executed by the processor 701, the above functions defined in the system / device of the embodiment of the present application are performed. According to the embodiment of the present application, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0160] In one embodiment, the computer program may be stored on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may be transmitted and distributed in the form of a signal on a network medium, downloaded and installed via the communication portion 709, and / or installed from a removable medium 711. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0161] According to an embodiment of the present application, the program code for executing the computer program provided by the embodiment of the present application can be written in any combination of one or more programming languages. Specifically, these computer programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages include, but are not limited to, languages such as Java, C++, Python, "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect via the Internet).

[0162] The embodiments of the present application have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present application. Although each embodiment has been described separately above, this does not mean that the measures in each embodiment cannot be advantageously used in combination. The present application does not depart from the scope of the present application, and those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present application.

Claims

1. A method for testing speech intelligibility of a rail vehicle, comprising: Obtaining interior layout information and vehicle component setting parameters of rail vehicles; Determining a voice pickup area inside the rail vehicle based on the vehicle interior layout information and vehicle component setting parameters, so as to install a sound collection device in the voice pickup area; When the rail vehicle is operating at a target speed, a target excitation voice signal is generated by using a test sound source, so that a voice pulse signal is collected by using the sound collection device; For any of the voice pulse signals, extracting a target voice signal from the voice pulse signal based on signal smoothness; According to the plurality of target voice signals of the different operating conditions, in-vehicle voice clarity data of the rail vehicle is generated.

2. The method according to claim 1, wherein The vehicle interior layout information includes interior space dimension information and interior seat layout information; The step of determining the voice pickup area inside the rail vehicle according to the vehicle interior layout information and vehicle component setting parameters includes: calculating sound transmission data for different interior areas of the vehicle based on the interior space dimension information and the interior seat layout information; A voice pickup area inside the rail vehicle is determined based on the plurality of sound transmission data and the vehicle component setting parameters.

3. The method according to claim 2, wherein: The vehicle component setting parameters include bogie position parameters, wheel position parameters and door position parameters; The step of determining a voice pickup area inside the rail vehicle based on the plurality of sound transmission data and the vehicle component setting parameters includes: For any of the vehicle interior areas, determining noise impact data based on the bogie position parameters, the wheel position parameters, and the door position parameters; Calculating a regional test coefficient of the vehicle interior area based on the noise impact data and the sound transmission data corresponding to the vehicle interior area; When the area test coefficient satisfies a preset coefficient range, the in-vehicle area is determined as the voice pickup area.

4. The method according to claim 1, wherein Use a test sound source to generate a target stimulus speech signal, including: Generate a target pulse signal based on a preset frequency range; The target pulse signal is applied to the test sound source to stimulate the test sound source to generate the target excitation voice signal.

5. The method according to claim 4, wherein The preset frequency range includes a first target frequency range and a second target frequency range; The generating of the target pulse signal based on the preset frequency range includes: generating a plurality of first debugging signals with different first frequencies according to the first target frequency range; generating a plurality of second debugging signals with different second frequencies according to the second target frequency range; The target pulse signal is generated according to a plurality of the first debug signals and a plurality of the second debug signals.

6. The method according to claim 1, wherein When the rail vehicle is running at a target speed, a target excitation voice signal is generated by using a test sound source, and a voice pulse signal is collected by using the sound collection device, including: When the rail vehicle is in a stationary state with a target vehicle speed of zero, collecting a first voice signal using the sound collection device; When the rail vehicle is at any speed other than the target speed of zero, the sound collection device is used to collect second voice signals corresponding to different speeds, wherein the voice pulse signal includes the first voice signal and multiple second voice signals.

7. The method according to claim 1 or 6, wherein: For any of the voice pulse signals, extracting a target voice signal from the voice pulse signal based on signal smoothness, comprising: intercepting an initial voice signal with a falling signal from the voice pulse signal; Calculating the signal smoothness of the initial speech signal at each moment based on the tension spline function method; intercepting an intermediate speech signal from the initial speech signal according to a plurality of signal smoothnesses; The intermediate speech signal is filtered to obtain the target speech signal, wherein the target speech signal includes a plurality of speech signals of different frequencies corresponding to the target excitation speech signal.

8. The method according to claim 7, wherein: Generating in-vehicle voice clarity data of the rail vehicle according to the plurality of target voice signals of the different operating conditions, including: For each of the operating conditions, performing spectrum conversion on the plurality of voice signals corresponding to the operating condition to obtain a plurality of voice spectrum data; For each speech spectrum data, substituting the speech spectrum data into a modulation transfer function to obtain speech transfer data; performing weighted calculation on the plurality of voice transmission data to obtain voice clarity corresponding to the operating condition; The in-vehicle speech clarity data is generated according to the plurality of speech intelligibility levels.

9. A speech intelligibility test device for a railway vehicle, comprising: An acquisition module, used to acquire interior layout information of a rail vehicle and vehicle component setting parameters; a determination module, configured to determine a voice pickup area within the rail vehicle based on the vehicle interior layout information and vehicle component setting parameters, so as to install a sound collection device in the voice pickup area; an acquisition module, configured to generate a target excitation voice signal using a test sound source when the rail vehicle is operating at a target speed, so as to acquire a voice pulse signal using the sound acquisition device; An interception module, configured to intercept a target voice signal from any of the voice pulse signals based on signal smoothness; A generating module is used to generate in-vehicle speech clarity data of the rail vehicle according to the plurality of target speech signals of the different operating conditions.

10. A train comprising the speech intelligibility testing device according to claim 9.

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