Audio signal processing method and device, vehicle and storage medium

Abstract

The invention relates to an audio signal processing method and device, a vehicle and a storage medium, and relates to the technical field of vehicles, and the method comprises the steps: obtaining the physiological feature information of a user in the vehicle; and adjusting a target audio signal played by the vehicle according to the physiological feature information. The target audio information played by the vehicle can be adjusted according to the physiological feature information of the user, so that the target audio information can flexibly adapt to the physiological state of the user, and the intelligence and flexibility of audio playing are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of vehicles, and in particular, to an audio signal processing method, apparatus, vehicle, and storage medium. Background Art

[0002] With the rapid development of society, electric vehicles are being rapidly popularized. Different from traditional fuel vehicles, electric vehicles do not have an engine and will be too quiet during driving, lacking a sense of driving. Therefore, there is a need for electronic sound waves. The electronic sound wave technology emits a matching sound according to the state of the vehicle during driving, giving the driver a sense of driving. For example, simulating the sound of an engine to give an electric vehicle the same sense of driving as a fuel vehicle. The existing sound wave synthesis algorithm is to obtain the working condition information of the vehicle during driving, and then use the sound wave synthesis algorithm to generate an audio signal according to the working condition information and play it through a speaker. Summary of the Invention

[0003] To overcome the problems existing in the related art, the present disclosure provides an audio signal processing method, apparatus, vehicle, and storage medium.

[0004] According to a first aspect of an embodiment of the present disclosure, an audio signal processing method is provided. The method includes:

[0005] Obtaining physiological characteristic information of a user inside the vehicle;

[0006] Adjusting a target audio signal played by the vehicle according to the physiological characteristic information.

[0007] Optionally, the method further includes:

[0008] Obtaining the working condition information of the vehicle;

[0009] The adjusting the target audio signal played by the vehicle according to the physiological characteristic information includes:

[0010] Adjusting an original audio signal according to the working condition information and the physiological characteristic information to adjust the target audio signal, where the target audio signal is generated based on the original audio signal.

[0011] Optionally, the adjusting the original audio signal according to the working condition information and the physiological characteristic information to adjust the target audio signal includes:

[0012] Determining candidate audio parameters according to the working condition information;

[0013] Determining target audio parameters according to the candidate audio parameters and the physiological characteristic information;

[0014] Adjusting the original audio signal according to the target audio parameters to adjust the target audio signal.

[0015] Optionally, determining the target audio parameter according to the candidate audio parameter and the physiological characteristic information includes:

[0016] Determining a target adjustment factor according to the physiological characteristic information;

[0017] Determining the target audio parameter according to the candidate audio parameter and the target adjustment factor.

[0018] Optionally, determining the target adjustment factor according to the physiological characteristic information includes:

[0019] Determining a target physiological characteristic value according to the physiological characteristic information;

[0020] Determining the target adjustment factor according to the target physiological characteristic value.

[0021] Optionally, determining the target physiological characteristic value according to the physiological characteristic information includes:

[0022] Performing recursive estimation on the physiological characteristic information to obtain the target physiological characteristic value.

[0023] Optionally, determining the target adjustment factor according to the target physiological characteristic value includes:

[0024] When the target physiological characteristic value is greater than a first preset threshold and less than a second preset threshold, using a specified adjustment factor as the target adjustment factor; or,

[0025] When the target physiological characteristic value is less than the first preset threshold or greater than the second preset threshold, determining the target adjustment factor corresponding to the target physiological characteristic value according to a preset correspondence relationship, where the preset correspondence relationship includes the correspondence relationship between the target physiological characteristic value and the target adjustment factor.

[0026] Optionally, determining the target audio parameter according to the candidate audio parameter and the target adjustment factor includes:

[0027] Determining the target audio parameter according to the product of the candidate audio parameter and the target adjustment factor.

[0028] According to a second aspect of the embodiments of the present disclosure, there is provided an audio signal processing device, where the device includes:

[0029] A first acquisition module, configured to acquire physiological characteristic information of a user inside a vehicle;

[0030] An adjustment module, configured to adjust a target audio signal played by the vehicle according to the physiological characteristic information.

[0031] Optionally, the device further includes:

[0032] A second acquisition module configured to acquire the operating condition information of the vehicle;

[0033] The adjustment module is configured to:

[0034] Adjust the original audio signal according to the operating condition information and the physiological characteristic information so as to adjust the target audio signal, where the target audio signal is generated based on the original audio signal.

[0035] Optionally, the adjustment module includes:

[0036] A first determination sub-module configured to determine candidate audio parameters according to the operating condition information;

[0037] A second determination sub-module configured to determine target audio parameters according to the candidate audio parameters and the physiological characteristic information;

[0038] An adjustment sub-module configured to adjust the original audio signal according to the target audio parameters so as to adjust the target audio signal.

[0039] Optionally, the second determination sub-module is configured to:

[0040] Determine a target adjustment factor according to the physiological characteristic information;

[0041] Determine the target audio parameters according to the candidate audio parameters and the target adjustment factor.

[0042] Optionally, the second determination sub-module is configured to:

[0043] Determine a target physiological characteristic value according to the physiological characteristic information;

[0044] Determine the target adjustment factor according to the target physiological characteristic value.

[0045] Optionally, the second determination sub-module is configured to:

[0046] Perform recursive estimation on the physiological characteristic information to obtain the target physiological characteristic value.

[0047] Optionally, the second determination sub-module is configured to:

[0048] When the target physiological characteristic value is greater than a first preset threshold and less than a second preset threshold, use a specified adjustment factor as the target adjustment factor; or,

[0049] When the target physiological characteristic value is less than the first preset threshold or greater than the second preset threshold, determine a target adjustment factor corresponding to the target physiological characteristic value according to a preset correspondence relationship, where the preset correspondence relationship includes the correspondence relationship between the target physiological characteristic value and the target adjustment factor.

[0050] Optionally, the second determination sub-module is configured to:

[0051] Determine the target audio parameter according to the product of the candidate audio parameter and the target adjustment factor.

[0052] According to a third aspect of the embodiments of the present disclosure, a vehicle is provided, including:

[0053] A memory having a computer program stored thereon;

[0054] A processor configured to execute the computer program in the memory to implement the steps of the method according to the first aspect of the embodiments of the present disclosure.

[0055] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, having computer program instructions stored thereon, and when the program instructions are executed by a processor, the steps of the method according to the first aspect of the embodiments of the present disclosure are implemented.

[0056] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

[0057] The present disclosure first obtains physiological characteristic information of a user in a vehicle, and then adjusts a target audio signal played by the vehicle according to the physiological characteristic information. The present disclosure can adjust the target audio information played by the vehicle according to the physiological characteristic information of the user, so that the target audio information can flexibly adapt to the state of the user, improving the intelligence and flexibility of audio playback.

[0058] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0060] Figure 1 is a flowchart of an audio signal processing method shown according to an exemplary embodiment.

[0061] Figure 2 is a flowchart of another audio signal processing method shown according to an exemplary embodiment.

[0062] Figure 3It is a flowchart of another audio signal processing method shown according to an exemplary embodiment.

[0063] Figure 4 It is a block diagram of an audio signal processing apparatus shown according to an exemplary embodiment.

[0064] Figure 5 It is a block diagram of another audio signal processing apparatus shown according to an exemplary embodiment.

[0065] Figure 6 It is a block diagram of another audio signal processing apparatus shown according to an exemplary embodiment.

[0066] Figure 7 It is a schematic diagram of a functional block diagram of a vehicle shown according to an exemplary embodiment. Detailed implementation manners

[0067] Here, the exemplary embodiments will be described in detail, and examples thereof are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. On the contrary, they are merely examples of apparatuses and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0068] It should be noted that all actions of obtaining signals, information, or data in this application are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where the location is located and obtaining the authorization given by the owner of the corresponding device.

[0069] Before introducing an audio signal processing method, apparatus, vehicle, and storage medium shown in the embodiments of the present disclosure, the application scenarios related to the present disclosure will be introduced first.

[0070] In the related art, the sound wave synthesis algorithm runs in the automotive control chip and obtains the vehicle condition information through the CAN (Controller Area Network) bus. Then, according to the vehicle condition information and the pre-agreed relationship, the magnification of the original audio signal is determined, and the frequency shift algorithm is used to synthesize the corresponding sound wave audio signal according to the corresponding magnification. Finally, it is mixed and played so that the user can hear the corresponding sound wave when driving. Among them, the original audio signal can be understood as a pre-stored audio signal used to synthesize the sound wave audio signals corresponding to different working conditions. That is to say, the sound wave audio signals corresponding to different working conditions are obtained based on the original audio signal, and the original audio signal can include one track or multiple tracks.

[0071] Under normal circumstances, the frequency shift parameter is fixed under different vehicle operating conditions, and the simulated engine sound perceived by different users is the same. Taking the acceleration condition as an example, under the acceleration condition, it is a relatively fixed sound acceleration experience, but the acceleration perception acceptable to each user is different. Some users prefer a mild acceleration experience, and the passionate acceleration sound will cause a feeling of fear while driving, while some users like a more passionate acceleration feeling. The existing algorithms cannot adapt to the driving experience of each user.

[0072] Figure 1 is a flowchart of an audio signal processing method shown according to an exemplary embodiment, as Figure 1 shown, the method may include the following steps.

[0073] In step S101, physiological characteristic information of a user inside the vehicle is obtained.

[0074] For example, the physiological characteristic information may include one or more of information such as heart rate information, pressure information, electroencephalogram information, blood oxygen information, iris information, facial expression information, motion information, etc.

[0075] In a possible implementation manner, a user may wear a wearable device when driving a vehicle, and the wearable device and the vehicle may be connected by a wired or wireless connection manner. The wireless connection manner may be, for example, a Bluetooth connection, a WiFi connection, etc. The vehicle may obtain the physiological characteristic information of the user from the wearable device. Among them, the wearable device may include, for example, a smart bracelet, a smart watch, smart glasses, etc.

[0076] In another possible implementation manner, a collection device may be arranged inside the vehicle to collect the physiological characteristic information of the user.

[0077] In another possible implementation manner, the physiological characteristic information collected by the wearable device and the physiological characteristic information collected by the collection device may be jointly used as the physiological characteristic information. The present disclosure does not specifically limit the type, number, and acquisition method of the physiological characteristic information.

[0078] In step S102, the target audio signal played by the vehicle is adjusted according to the physiological characteristic information.

[0079] For example, during the process of playing a target audio signal, the vehicle can determine the user's current emotional state and perception of the current engine sound based on the user's physiological characteristic information, and adjust the target audio signal played by the vehicle according to the user's emotional state, so that the frequency and speed of the engine sound corresponding to the target audio signal can be flexibly and adaptively adjusted according to the user's emotional state, thereby improving the user's driving experience. Among them, the target audio signal can be played through a sound playback device arranged inside the vehicle or through a sound playback device arranged outside the vehicle, and the present disclosure does not make specific limitations on this.

[0080] In some embodiments, when the physiological characteristic information indicates that the user's emotional state is too quiet and stable, it means that the user needs a more stimulating engine sound effect. Then, the target audio signal played by the vehicle can be adjusted to increase the frequency and multiple of the engine sound corresponding to the target audio signal, so as to obtain a more stimulating engine sound effect. When the physiological characteristic information indicates that the user's emotional state fluctuates greatly, it means that the current engine sound effect is too stimulating for the user and a more quiet and stable engine sound effect is needed. Then, the target audio signal played by the vehicle can be adjusted to decrease the frequency and multiple of the engine sound corresponding to the target audio signal, so as to obtain a more quiet and stable engine sound effect. When the physiological characteristic information indicates that the user's emotional state is in a normal state, it means that the current engine sound effect is more appropriate. Then, the target audio signal can be not adjusted, so as to maintain the current engine sound effect.

[0081] In a possible implementation manner, the target audio signal can be generated based on a preset original audio signal. After obtaining the user's physiological characteristic information, the corresponding audio parameters can be obtained according to the user's physiological characteristic information, and the original audio signal can be adjusted by using the audio parameters, so as to realize the adjustment of the target audio signal. It is also possible to pre-train a first audio adjustment model, input the physiological characteristic information and the original audio signal into the first audio adjustment model, so as to obtain the target audio signal output by the first audio adjustment model.

[0082] In another possible implementation manner, after obtaining the user's physiological characteristic information, the target audio signal can be directly adjusted to obtain the adjusted target audio signal. For example, the corresponding audio parameters can be obtained according to the user's physiological characteristic information, and the target audio signal can be adjusted by using the audio parameters. It is also possible to pre-train a second audio adjustment model, input the physiological characteristic information and the target audio signal before adjustment into the second audio adjustment model, so as to obtain the adjusted target audio signal output by the second audio adjustment model.

[0083] In some other embodiments, physiological characteristic information of a user may be obtained at a first preset period, and a target audio signal may be adjusted at a second preset period, where the first preset period may be greater than or equal to the second preset period, and the second preset period may be, for example, 10 s.

[0084] In summary, the present disclosure first obtains physiological characteristic information of a user in a vehicle, and then adjusts a target audio signal played by the vehicle according to the physiological characteristic information. The present disclosure can adjust the target audio information played by the vehicle according to the physiological characteristic information of the user, so that the target audio information can flexibly adapt to the state of the user, and improves the intelligence and flexibility of audio playback.

[0085] Figure 2 is a flowchart of another audio signal processing method shown according to an exemplary embodiment. As Figure 2 shown, the method may further include:

[0086] In step S103, driving condition information of the vehicle is obtained.

[0087] Correspondingly, an implementation manner of step S102 may be:

[0088] Adjust the original audio signal according to the driving condition information and the physiological characteristic information to adjust the target audio signal, where the target audio signal is generated based on the original audio signal.

[0089] Exemplarily, the vehicle may obtain the current driving condition information of the vehicle through a CAN bus, where the driving condition information may include at least one of information such as the vehicle speed, acceleration, motor speed, and pedal opening degree of the vehicle. After obtaining the current driving condition information and the physiological characteristic information of the user, the original audio signal may be adjusted according to the driving condition information and the physiological characteristic information, so as to adjust the target audio signal played by the vehicle, so that the played target audio signal can match the driving condition information and can also flexibly adapt to the physiological state and emotional state of the user, so that the user obtains a better driving experience. Wherein, the target audio signal may be generated based on the original audio signal, that is to say, the target audio signal is obtained by processing the original audio signal. When the target audio signal needs to be adjusted, the adjustment of the target audio signal may be achieved by adjusting the original audio signal.

[0090] In a possible implementation manner, a target adjustment parameter corresponding to the driving condition information and the physiological characteristic information may be determined, and then the original audio signal may be adjusted according to the target adjustment parameter to obtain the target audio signal. Exemplarily, a parameter determination model may be pre-trained, and the driving condition information and the physiological characteristic information are used as the input of the parameter determination model to obtain the target adjustment parameter output by the parameter determination model.

[0091] In another possible implementation, the original audio signal can be adjusted according to the working condition information to obtain a candidate audio signal, and then the candidate audio signal can be adjusted according to the physiological characteristic information to obtain the target audio information.

[0092] Figure 3 is a flowchart of another audio signal processing method shown according to an exemplary embodiment, as Figure 3 shown, step S102 can be implemented through the following steps:

[0093] In step S1021, candidate audio parameters are determined according to the working condition information.

[0094] In step S1022, target audio parameters are determined according to the candidate audio parameters and the physiological characteristic information.

[0095] In step S1023, the original audio signal is adjusted according to the target audio parameters to adjust the target audio signal.

[0096] Exemplarily, the candidate audio parameters corresponding to the working condition information can be calculated first through a preset sound wave synthesis algorithm, and then the candidate audio parameters can be corrected according to the physiological characteristic information to obtain the target audio parameters adapted to the user's physiological state, and the original audio parameters are adjusted according to the target audio parameters, so as to adjust the target audio signal played by the vehicle, so that the played target audio signal can not only match the working condition information, but also flexibly adapt to the user's physiological state, so that the user can obtain a better driving experience.

[0097] According to some embodiments of the present disclosure, one implementation manner of step S1022 can be:

[0098] Determine the target adjustment factor according to the physiological characteristic information.

[0099] Determine the target audio parameters according to the candidate audio parameters and the target adjustment factor.

[0100] In some embodiments, the target physiological characteristic value can be determined first according to the physiological characteristic information, and then the target adjustment factor can be determined according to the target physiological characteristic value.

[0101] In a possible implementation manner, the physiological characteristic information can be recursively estimated to obtain the target physiological characteristic value. Taking the physiological characteristic information including heart rate data and pressure data as an example, the real-time collected heart rate data and pressure data are respectively denoted as p(n) and h(n). The estimated values of the user in the quiet state and the non-quiet state can be respectively:

[0102] p0(n) = α1·p0(n - 1) + (1 - α1)·p(n)

[0103] p1(n) = α2·p1(n - 1)+(1 - α2)·p(n)

[0104] h0(n) = α1·h0(n - 1)+(1 - α1)·h(n)

[0105] h1(n) = α2·h1(n - 1)+(1 - α2)·h(n)

[0106] Where p0(n) and h0(n) are the estimated values of heart rate data and pressure data in the quiet state respectively, and p1(n) and h1(n) are the estimated values of heart rate data and pressure data in the non - quiet state respectively. The quiet state can be understood as a relatively stable physiological state, and the non - quiet state can be understood as a physiological state with large fluctuations. For example, a heart rate threshold and a pressure threshold can be set. When the collected heart rate data is less than or equal to the heart rate threshold and the pressure data is less than or equal to the pressure threshold, it can be considered that the user is in the quiet state; when the collected heart rate data is greater than the heart rate threshold or the pressure data is greater than the pressure threshold, it can be considered that the user is in the non - quiet state. The range of recursive averaging can be controlled by α1 and α2. Among them, α1 can be 0.998 for long - term recursion, and α2 can be 0.8 for short - term recursion.

[0107] First, the physiological characteristic value a0 in the quiet state can be calculated through p0(n) and h0(n):

[0108]

[0109] Where ε i is the weight distribution coefficient of each biometric signal, and N is the number of biometric features. In this example, f0(0)=p0(n), f0(1)=h0(n).

[0110] Then, based on the physiological characteristic value a0 in the quiet state, the first preset threshold a1 and the second preset threshold a2 are obtained:

[0111] a1 = a0 - Δ

[0112] a2 = a0 + Δ

[0113] Where Δ can be set according to actual needs.

[0114] Furthermore, the target physiological characteristic value a in the non - quiet state can be calculated through p1(n) and h1(n):

[0115]

[0116] Where f1(0)=p1(n), f1(1)=h1(n).

[0117] In another possible implementation, a feature value determination model can be pre-trained. After obtaining the physiological feature information of the user, the physiological feature information is used as the input of the feature value determination model, and the target physiological feature value output by the feature value determination model is obtained.

[0118] In some other embodiments, when the target physiological feature value is greater than the first preset threshold and less than the second preset threshold, it indicates that the user's emotional state is in a normal state. Then, a specified adjustment factor can be used as the target adjustment factor, where the specified adjustment factor can be 1. When the target physiological feature value is less than the first preset threshold or greater than the second preset threshold, it indicates that the user's emotional state is in an abnormal state, such as being too quiet and stable or having excessive emotional fluctuations. Then, the target adjustment factor corresponding to the target physiological feature value can be determined according to a preset correspondence relationship, where the preset correspondence relationship can include the correspondence relationship between the target physiological feature value and the target adjustment factor.

[0119] Exemplarily, the preset correspondence relationship can be a preset table that stores the correspondence relationship between the target physiological feature value and the target adjustment factor, and the target adjustment factor corresponding to the target physiological feature value can be found in the preset table. The preset correspondence relationship can also be a preset function, where the independent variable of the preset function is the target physiological feature value and the dependent variable is the target adjustment factor. Substituting the target physiological feature value into the preset function can obtain the corresponding target adjustment factor. The preset correspondence relationship can also be a pre-trained preset model. Inputting the target physiological feature into the preset model can obtain the target adjustment factor output by the preset model. The present disclosure does not make specific limitations on this.

[0120] In a possible implementation, the target audio parameter can be determined according to the product of the candidate audio parameter and the target adjustment factor. Taking the magnification factor of the pitch shifting algorithm as the target audio parameter, the target audio signal can be expressed as:

[0121]

[0122] where L is the frame length, x(n) is the input original audio signal, u(n) is the unit step signal, hop out is the frame shift of the output target audio signal, hop out The calculation formula can be:

[0123]

[0124] where hop in is the frame shift of the input original audio signal, is the magnification factor of the pitch shifting algorithm, that is, the target audio parameter. The magnification factor of the pitch shifting algorithm can be calculated by a recursive estimation algorithm using the following formula:

[0125]

[0126] Among them, α is a smoothing factor, and ratio(n) is a candidate audio parameter, is the magnification factor estimated in the previous cycle, is the magnification factor estimated in the current cycle, that is, the target audio parameter.

[0127] When the target physiological characteristic value is less than the first preset threshold, that is, a < a1, it means that the user's emotional state is too quiet and stable, and a more stimulating sound wave effect is needed. The target adjustment factor at this time can be Since Therefore, the magnification factor obtained by recursive estimation is greater than that of the previous cycle. By increasing the magnification factor, the frequency and speed of the played sound wave are increased, thereby obtaining a more stimulating sound wave effect.

[0128] When the target physiological characteristic value is greater than the first preset threshold and less than the second preset threshold, it means that the user's emotional state is in a normal state, and the current sound wave effect is more appropriate. At this time, the target adjustment factor can be 1 to keep the magnification factor unchanged, that is, not to adjust the target audio signal, so as to maintain the current sound wave effect.

[0129] When the target physiological characteristic value is greater than the second preset threshold, that is, a > a2, it means that the user's emotional state fluctuates greatly, and the current sound wave effect is too stimulating for the user, and a more quiet and stable sound wave effect is needed. The target adjustment factor at this time can be Since Therefore, the magnification factor obtained by recursive estimation is less than that of the previous cycle. By reducing the magnification factor of the frequency shift algorithm, the frequency and speed of the played sound wave are reduced, thereby obtaining a more quiet and stable sound wave effect.

[0130] In this way, the target physiological characteristic value reflecting the user's emotional state is obtained according to the user's physiological characteristic information, and the target adjustment factor and the corresponding target audio parameter are determined according to the range interval where the target physiological characteristic value is located. Then, the target audio signal is adjusted according to the target audio parameter, so that the played sound wave effect can be flexibly adapted to the user's emotional state, improving the user's driving experience.

[0131] In summary, the present disclosure first obtains the physiological characteristic information of the user in the vehicle, and then adjusts the target audio signal played by the vehicle according to the physiological characteristic information. The present disclosure can adjust the target audio information played by the vehicle according to the physiological characteristic information of the user, so that the target audio information can be flexibly adapted to the user's state, improving the intelligence and flexibility of audio playback.

[0132] Figure 4 is a block diagram of an audio signal processing device shown according to an exemplary embodiment, asFigure 4 As shown, the device 200 may include:

[0133] A first acquisition module 201, configured to acquire physiological characteristic information of a user inside the vehicle.

[0134] An adjustment module 202, configured to adjust a target audio signal played by the vehicle according to the physiological characteristic information.

[0135] Figure 5 is a block diagram of another audio signal processing device shown according to an exemplary embodiment. As Figure 5 shown, the device 200 may further include:

[0136] A second acquisition module 203, configured to acquire operating condition information of the vehicle.

[0137] Correspondingly, the adjustment module 202 is configured to:

[0138] Adjust the original audio signal according to the operating condition information and the physiological characteristic information to adjust the target audio signal, where the target audio signal is generated based on the original audio signal.

[0139] Figure 6 is a block diagram of an audio signal processing device shown according to an exemplary embodiment. As Figure 6 shown, the adjustment module 202 includes:

[0140] A first determination sub-module 2021, configured to determine candidate audio parameters according to the operating condition information.

[0141] A second determination sub-module 2022, configured to determine target audio parameters according to the candidate audio parameters and the physiological characteristic information.

[0142] An adjustment sub-module 2023, configured to adjust the original audio signal according to the target audio parameters to adjust the target audio signal.

[0143] In some embodiments, the second determination sub-module 2022 is configured to:

[0144] Determine a target adjustment factor according to the physiological characteristic information.

[0145] Determine the target audio parameters according to the candidate audio parameters and the target adjustment factor.

[0146] In other embodiments, the second determination sub-module 2022 is configured to:

[0147] Determine a target physiological characteristic value according to the physiological characteristic information.

[0148] Determine the target adjustment factor according to the target physiological characteristic value.

[0149] In some other embodiments, the second determination sub-module 2022 is configured to:

[0150] Recursively estimate the physiological characteristic information to obtain a target physiological characteristic value.

[0151] In some other embodiments, the second determination sub-module 2022 is configured to:

[0152] When the target physiological characteristic value is greater than a first preset threshold and less than a second preset threshold, use a specified adjustment factor as the target adjustment factor. Or,

[0153] When the target physiological characteristic value is less than the first preset threshold or greater than the second preset threshold, determine the target adjustment factor corresponding to the target physiological characteristic value according to a preset correspondence relationship, where the preset correspondence relationship includes the correspondence relationship between the target physiological characteristic value and the target adjustment factor.

[0154] In some other embodiments, the second determination sub-module 2022 is configured to:

[0155] Determine the target audio parameter according to the product of the candidate audio parameter and the target adjustment factor.

[0156] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0157] In summary, the present disclosure first obtains the physiological characteristic information of the user in the vehicle, and then adjusts the target audio signal played by the vehicle according to the physiological characteristic information. The present disclosure can adjust the target audio information played by the vehicle according to the physiological characteristic information of the user, so that the target audio information can flexibly adapt to the state of the user, improving the intelligence and flexibility of audio playback.

[0158] The present disclosure also provides a computer-readable storage medium, on which computer program instructions are stored, and when the program instructions are executed by a processor, the steps of the audio signal processing method provided by the present disclosure are implemented.

[0159] Figure 7 is a block diagram of a vehicle 300 shown according to an exemplary embodiment. For example, the vehicle 300 may be a hybrid vehicle, or a non-hybrid vehicle, an electric vehicle, a fuel cell vehicle, or other types of vehicles. The vehicle 300 may be an autonomous vehicle, a semi-autonomous vehicle, or a non-autonomous vehicle.

[0160] Refer to Figure 7, the vehicle 300 may include various subsystems. For example, an infotainment system 310, a perception system 320, a decision control system 330, a drive system 340, and a computing platform 350. Among them, the vehicle 300 may also include more or fewer subsystems, and each subsystem may include multiple components. In addition, each subsystem and each component of the vehicle 300 may be interconnected by wired or wireless means.

[0161] In some embodiments, the infotainment system 310 may include a communication system, an entertainment system, a navigation system, and the like.

[0162] The perception system 320 may include several sensors for sensing information about the environment around the vehicle 300. For example, the perception system 320 may include a global positioning system (the global positioning system may be a GPS system, a Beidou system, or other positioning systems), an inertial measurement unit (IMU), lidar, millimeter-wave radar, ultrasonic radar, and a camera device.

[0163] The decision control system 330 may include a computing system, a vehicle controller, a steering system, an accelerator, and a braking system.

[0164] The drive system 340 may include components that provide motive power for the vehicle 300. In one embodiment, the drive system 340 may include an engine, an energy source, a powertrain, and wheels. The engine may be one or a combination of an internal combustion engine, an electric motor, and an air compression engine. The engine can convert the energy provided by the energy source into mechanical energy.

[0165] Some or all functions of the vehicle 300 are controlled by the computing platform 350. The computing platform 350 may include at least one processor 351 and a memory 352. The processor 351 may execute instructions 353 stored in the memory 352.

[0166] The processor 351 may be any conventional processor, such as a commercially available CPU. The processor may also include, for example, a Graphic Process Unit (GPU), a Field Programmable Gate Array (FPGA), a System on Chip (SOC), an Application Specific Integrated Circuit (ASIC), or a combination thereof.

[0167] The memory 352 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disc.

[0168] In addition to the instructions 353, the memory 352 can also store data, such as road maps, route information, data on the position, direction, speed, etc. of the vehicle. The data stored in the memory 352 can be used by the computing platform 350.

[0169] In an embodiment of the present disclosure, the processor 351 can execute the instructions 353 to complete all or part of the steps of the above audio signal processing method.

[0170] In another exemplary embodiment, a computer program product is also provided. The computer program product includes a computer program that can be executed by a programmable device, and the computer program has a code portion for executing the above audio signal processing method when executed by the programmable device.

[0171] Those skilled in the art will readily conceive of other embodiments of the present disclosure after considering the specification and practicing the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common knowledge or conventional technical means in the technical field not disclosed by the present disclosure. The specification and embodiments are only to be considered exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0172] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. An audio signal processing method, characterized in that, The method includes: Obtaining physiological characteristic information of a user inside the vehicle; Adjusting a target audio signal played by the vehicle according to the physiological characteristic information.

2. The method according to claim 1, characterized in that, The method further includes: Obtaining operating condition information of the vehicle; The adjusting the target audio signal played by the vehicle according to the physiological characteristic information includes: Adjusting an original audio signal according to the operating condition information and the physiological characteristic information to adjust the target audio signal, where the target audio signal is generated based on the original audio signal.

3. The method according to claim 2, characterized in that, The adjusting the original audio signal according to the operating condition information and the physiological characteristic information to adjust the target audio signal includes: Determining candidate audio parameters according to the operating condition information; Determining target audio parameters according to the candidate audio parameters and the physiological characteristic information; Adjusting the original audio signal according to the target audio parameters to adjust the target audio signal.

4. The method according to claim 3, characterized in that, The determining the target audio parameters according to the candidate audio parameters and the physiological characteristic information includes: Determining a target adjustment factor according to the physiological characteristic information; Determining the target audio parameters according to the candidate audio parameters and the target adjustment factor.

5. The method according to claim 4, characterized in that, The determining the target adjustment factor according to the physiological characteristic information includes: Determining a target physiological characteristic value according to the physiological characteristic information; Determining the target adjustment factor according to the target physiological characteristic value.

6. The method according to claim 5, characterized in that, The determining the target physiological characteristic value according to the physiological characteristic information includes: Performing recursive estimation on the physiological characteristic information to obtain the target physiological characteristic value.

7. The method according to claim 5, characterized in that, The determining the target adjustment factor according to the target physiological characteristic value includes: When the target physiological characteristic value is greater than a first preset threshold and less than a second preset threshold, using a specified adjustment factor as the target adjustment factor; or, When the target physiological characteristic value is less than the first preset threshold or greater than the second preset threshold, determining the target adjustment factor corresponding to the target physiological characteristic value according to a preset correspondence relationship, where the preset correspondence relationship includes the correspondence relationship between the target physiological characteristic value and the target adjustment factor.

8. The method according to claim 4, characterized in that, The determining the target audio parameters according to the candidate audio parameters and the target adjustment factor includes: Determining the target audio parameters according to the product of the candidate audio parameters and the target adjustment factor.

9. An audio signal processing apparatus, characterized in that, The device includes: A first obtaining module configured to obtain physiological characteristic information of a user inside the vehicle; An adjustment module configured to adjust a target audio signal played by the vehicle according to the physiological characteristic information.

10. A vehicle, characterized in that, Including: A memory on which a computer program is stored; A processor for executing the computer program in the memory to implement the steps of the method according to any one of claims 1-8.

11. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, When the program instructions are executed by the processor, the steps of the method according to any one of claims 1-8 are implemented.

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