33 results about "Normal voice" patented technology

The invention discloses a method and system for monitoring the abnormal state of a belt conveyor based on deep learning, and the method comprises the steps: laying sensing optical fibers along the line of a rack of the belt conveyor, and collecting the operation sound signals of a plurality of spatial point locations along the line through the sensing optical fibers by a distributed acoustic sensing DAS device; the method comprises the following steps: in a normal operation state of a belt conveyor, collecting normal sound signals of each point location, preprocessing the signals, and constructing a normal sample data set; for a normal sample of each spatial point location, training a corresponding unsupervised learning model; in real-time monitoring, sound signals collected at each point location are input into a corresponding unsupervised learning model, a reconstruction error is calculated, and the reconstruction error is compared with a dynamic threshold value based on normal sample statistical characteristics to obtain an abnormal result; and performing comprehensive judgment on an abnormal result based on statistical logic of the time window, and triggering an alarm if an abnormal proportion in the window exceeds a set value. High-accuracy abnormity early warning is realized, and system deployment is convenient.

A machine learning model is constructed by machine learning based on image data that is obtained by imaging each portion provided in a substrate processing device and sound data of sounds emitted when the portions operate. As the sound data, both the data of a normal sound that is emitted when each portion operates normally and the data of an abnormal sound that is emitted when each portion is abnormally operated are collected. When abnormality detection is performed, an eye tracking function identifies a position that is being viewed by a worker wearing smart glasses in which a machine learning model is installed. An image of a region including the identified viewed position is captured, and a sound is collected in a state in which the worker is viewing the viewed position. The collected image data and sound data are input into the machine learning model.

The invention discloses a voice interaction application testing method and device and related equipment. The method comprises the steps of obtaining a target file stream from a preset file, wherein the preset file comprises a file stream generated after a normal voice interaction event stream of a voice interaction application is serialized; deserializing the target file stream to generate various voice type events; distributing the various voice type events to a voice interaction application; and driving the voice interaction application to execute the various voice type events to obtain a test result of the voice interaction application. According to the embodiment of the invention, the method does not involve the contact of an operation interface, is suitable for the test of a non-touchable voice interaction application, and guarantees the normal operation of the voice interaction application in the vehicle-mounted terminal.

The invention provides an interphone noise suppression method and a noise suppression device, which are used for judging whether a sound signal is noise or normal voice by utilizing a decibel value of an actually acquired sound signal and / or a ratio of a voice signal to a total sound signal, and switching on or switching off an information channel between an interphone and an earphone according to a judgment result. Moreover, the decibel threshold value of the normal voice signal is dynamically updated according to the environmental data, so that the accuracy of noise discrimination and the noise suppression effect are improved. The noise suppression device designed by the invention is externally hung between the interphone and the earphone, when the noise suppression device is used for suppressing noise, the interior of the original interphone does not need to be disassembled or maintained, and the noise suppression device is particularly suitable for maintenance of old equipment interphones.

The application discloses a sound recognition alarm method and system, electronic equipment and medium, and relates to the technical field of sound recognition. A plurality of preset time periods are set, corresponding sound collection sensitivities are configured for the plurality of preset time periods and sound types respectively, and are marked in a sound existing model. Sound information in the environment is collected in real time according to the sound existing model, wherein the sound information comprises audio information, the time of collecting the sound and the sound decibel, and the sound information is constructed in the sound existing model. The audio information is analyzed to obtain the sound type, and an alarm mode is implemented on the interference sound corresponding to the sound decibel that does not satisfy the preset condition. The sound type library is obtained by storing the interference sound feature set and the normal sound feature set, has a powerful database for subsequent environmental sound recognition, can help to quickly identify the square dance music in subsequent actual life, and can efficiently react and perform alarm processing.

The invention discloses a propulsion motor nondestructive testing method, device and equipment based on an acoustic signal and a medium. The method comprises the following steps: acquiring a detection acoustic signal during operation of a propulsion motor through a sensor; converting the detection acoustic signal into a corresponding detection energy density curve; according to the deviation condition between the detection energy density curve and a reference curve in a normal sound library and between the detection energy density curve and a fault curve in a fault sound library, whether the propulsion motor has a fault or not is determined, and fault classification is determined when the fault exists; and updating the normal sound bank or the fault sound bank according to the detection energy density curve, thereby realizing early accurate identification of internal and external faults of the propulsion motor, and effectively reducing fault maintenance cost and accident risk.

The invention relates to the technical field of abnormal sound detection, in particular to a scraper abnormal sound recognition method and device and electronic equipment. The scrapper abnormal sound recognition method comprises the following steps: based on historical sound data of all working surfaces of a plurality of coal mines and an HTS-AT model, acquiring a universal audio recognition model divided according to a mining dimension; obtaining a target normal sound sample, a target fault sound sample and a target environment interference sound sample which are matched with the target working surface; based on the sampling height of the target working face, the target normal sound sample, the target fault sound sample and the target environment interference sound sample, performing fine tuning on the universal audio recognition model to obtain a target audio recognition model matched with the target working face; and based on the target audio recognition model, recognizing the to-be-detected sound of the target working surface, and obtaining an abnormal sound recognition result of the scraper. The abnormal sound of the scraper conveyor can be accurately recognized, real-time and accurate support is provided for equipment troubleshooting, and the coal mine production efficiency is improved.

This invention provides a voice interaction control method for smart home appliances, a smart home appliance, and a computer-readable storage medium. The voice interaction control method includes: turning on the smart home appliance; identifying the real-time status of a target user in the environment of the smart home appliance at preset intervals; when the real-time status of the target user is identified as active for a preset number of consecutive times, controlling the smart home appliance to execute a normal voice interaction strategy; when the real-time status of the target user is identified as sleep or rest, controlling the smart home appliance to execute a downgraded voice interaction strategy. This allows for dynamic and accurate perception of the user's real-time status to dynamically adapt to different strategies of the smart home appliance's voice interaction function, precisely preventing the smart home appliance's voice interaction function from interfering with the user's sleep or rest, and accurately realizing intelligent interaction of the voice interaction function during non-sleep or rest periods. This improves the accuracy and stability of the smart home appliance's voice interaction control, thereby enhancing the user experience.

Regardless of the type of elevator, it can be easily retrofitted, detect operational abnormalities, and enable direct communication between the elevator occupants and the outside. [Solution] The elevator management device 200 is retrofitted to the outside of the elevator car and includes a microphone 204 for collecting ambient sounds, a speaker 205 for outputting sound, and a communication unit 302 for communicating with an external device 300. When the microphone 204 collects a predetermined sound or a sound similar thereto, or when the microphone 204 collects a sound different from the sounds that normally occur, the communication unit 302 transmits information about the collected sound and information about an abnormality determined based on the collected sound to the external device 300, and the speaker 205 outputs sound related to the predetermined information either towards the outside of the car or towards the inside of the car.

The invention discloses a sound transmission method based on floor obstruction in a virtual scene and a related device. The method comprises the following steps: acquiring floor space states of a target sounding object and a target listening object in a floor space environment; the floor space state shows that the target sound production object or the target sound listening object is located in the floor space, and the target sound production object and the target sound listening object are located on different floors; the normal sound resource and the floor sound resource in the floor space are mixed as a first blocking sound with relatively high blocking strength and are transmitted from the target sound production object to the target sound listening object, and the normal sound resource is strongly blocked by the floor; the floor space state indicates that the target sound production object and the target sound listening object are both located outside the floor space, and the target sound production object and the target sound listening object are located at different floors, filtering a second barrier sound with a normal sound resource being relatively low barrier strength through the floor barrier parameter, and spreading the second barrier sound from the target sound production object to the target sound listening object. Normal sound resources are weakly blocked by floors.

The invention discloses a wake-up processing method and device based on far-field voice, and terminal equipment, and relates to the technical field of voice recognition wake-up, and the method comprises the steps: carrying out the analysis processing of a detected wake-up audio, and calculating a wake-up confidence score; when the calculated wake-up confidence score of the wake-up audio is greater than or equal to a preset threshold value, determining that the wake-up is effective and controlling to enter a normal voice interaction process; when the calculated wake-up confidence score of the wake-up audio is lower than a preset threshold value, sending the wake-up audio to a background for voice recognition; performing second-level judgment: judging whether the character information of the voice recognition is consistent with a preset wake-up word or not; if so, entering a normal voice interaction process; and if not, false wake-up is confirmed, and the voice interaction process is controlled to be ended. According to the invention, the false awakening condition caused by environmental noise, similar pronunciation and the like can be solved, and convenience is provided for the use of a user.

The invention relates to the technical field of voice information security, and discloses a recording interference prevention method and device, and the method comprises an environment perception step, an equipment recognition and positioning step, an interference strategy decision-making step, a dynamic sequence generation step, a signal fusion construction step, a parametric array modulation step, a directional emission step, and an evaluation adjustment step. The device corresponds to the method. According to the application, different recording devices are accurately distinguished through an acoustic fingerprint identification technology, and a targeted interference strategy can be generated according to specific acoustic features of the devices; by combining an acoustic parametric array and a beam forming technology, accurate directional transmission of interference sound waves is realized, interference energy is enabled to act on target equipment in a concentrated manner, and the interference efficiency is improved; through fusion of multiple dynamic sequences and construction of composite baseband signals, the unpredictability and anti-filtering capability of interference signals are enhanced. Therefore, the high-efficiency interference performance is maintained, the influence on normal voice communication is reduced, and accurate and self-adaptive anti-recording protection is realized.

This invention relates to the field of automotive volume control technology, and discloses a method, device, vehicle, and medium for adjusting automotive volume. The method includes: collecting ambient sound inside a target vehicle; classifying the ambient sound to obtain classification results, the classification results including normal sound data and noise data of at least one preset category; determining a noise level based on the noise category and / or the number of noises corresponding to the classification results; and adjusting the audio volume of the target vehicle based on the noise level. This invention determines the noise level by classifying the ambient sound inside the vehicle and adjusts the audio volume of the target vehicle based on the noise level. This not only achieves automatic adjustment of the vehicle volume, simplifies the adjustment process, and improves adjustment efficiency, but also provides users with a better audio experience, reduces the frequency of volume adjustments, and further ensures user safety while driving.

The utility model discloses an open type wearable earphone with a resonance structure, and relates to the field of earphones, and the earphone comprises an earphone shell which is provided with an accommodation cavity; the loudspeaker is arranged in the earphone shell and divides the accommodating cavity into a front cavity and a rear cavity; the earphone shell is provided with a sound leakage hole, and the sound leakage hole is communicated with the rear cavity. The resonance structure is arranged in the rear cavity, and the resonance structure and the sound leakage hole are arranged in a staggered manner; and the resonance structure is provided with a sealing cavity and an acoustic resistance adjusting hole, and the acoustic resistance adjusting hole is respectively communicated with the sealing cavity and the rear cavity. Compared with the prior art, sound energy limitation is not carried out on a normal sound production path, the resonance structure is arranged in the rear cavity, the main sound output path and the acoustic path of the sealing cavity are mutually independent, the normal sound production efficiency of the earphone can be fully reserved, the leakage sound is subjected to a damping effect in the transmission process through acoustic resonance, and the sound transmission efficiency is improved. Therefore, sound leakage is reduced on the premise that normal sound transmission is not interrupted and normal sound production quality is not reduced.

This invention relates to the field of hearing aids, specifically to a method and system for testing the operational performance of hearing aids. The system includes a processing module, a receiver module, a timed switching module, and a comparison module. The processing module comprises a processor module, a button module, a power supply module, a playback module, and a transmission module. By setting a timed self-test, the system collects sound from the inside of the device normally used for auxiliary receiver switching during the self-test. Then, the auxiliary receiver module collects the sound played by the playback module and compares it briefly with normal sounds in a normal sound database. If the playback is confirmed to be problem-free, it proves that neither the playback module nor the receiver module has a performance degradation issue. If the short comparison confirms a playback problem, a long-term comparison is performed, comparing the sound data played by the playback module with the sound data collected by the receiver module to determine whether either the playback module or the receiver module has a problem, or which module is malfunctioning.

This application provides a method, device, vehicle, and medium for alerting abnormal vehicle noises. The method, applied in the field of vehicles, includes: acquiring sound information generated by the vehicle, vehicle operation information, and vehicle driving information; determining the vehicle's operating scenario based on the vehicle operation information and driving information; comparing the sound information with normal sound information stored in a first database based on the operating scenario to generate a detection result; and outputting corresponding alert information according to the detection result and a corresponding alert mode. This method can alert users to vehicle noises based on their needs, enabling users to promptly detect vehicle malfunctions and ensuring vehicle driving safety.

To diagnose an abnormality of an instrument from feature quantities relating to a pitch of sound.SOLUTION: An abnormality diagnosis apparatus according to one aspect of the present disclosure includes: a first model creation unit that creates a normal model constituted by feature quantities relating to a pitch of sound included in normal sound on the basis of the normal sound representing sound acquired from an instrument in a normal state; a second model creation unit that creates a diagnosis target model constituted by feature quantities relating to a pitch of sound included in diagnosis target sound on the basis of the diagnosis target sound representing sound acquired from a target instrument to be subjected to abnormality diagnosis; and a diagnosis unit that diagnoses an abnormality of the target instrument by comparing the diagnosis target model with the normal model. The feature quantities relating to the pitch of sound are scores representing how much sounds of frequencies corresponding to respective ones of twelve classes defined on the basis of chroma are included.SELECTED DRAWING: Figure 5

The objective of the invention is to provide the sound spectrum mode recognizer which is high in abnormal sound signal recognition accuracy and high in detection efficiency. The system comprises an audio acquisition module, a spectrogram module, a neural network module and a result output module. The audio acquisition module is used for converting sound into an audio signal; the spectrogram module is used for converting an audio signal acquired by the audio acquisition module into a spectrogram; the neural network module performs feature extraction on the spectrogram so as to extract features of normal sound and abnormal sound; the specific extraction process comprises the steps of sequentially performing classification labeling on the spectrogram, setting parameters to generate a training set, selecting a neural network model, setting hyper-parameters, inputting the training set into the neural network model to start training and storing the network model. And the result output module calls the network model stored in the neural network module to compare and judge the spectrogram to be detected converted by the spectrogram module, and outputs a judgment result. The method is applied to the technical field of acoustic testing.

The embodiment of the invention provides a vehicle-mounted voice protection method, device and equipment and a computer readable storage medium. The method comprises the following steps: acquiring an in-vehicle voice signal in real time; analyzing the voice signal to obtain power spectrum distribution characteristics; according to the power spectrum distribution characteristics, multiple paths of periodic short pulse sequences are constructed; generating a multi-channel ultrasonic masking signal according to the multi-path periodic short pulse sequence; and transmitting the multi-channel ultrasonic masking signal by using an ultrasonic phased array, and forming an ultrasonic sound field in a target area in the vehicle. In this way, the directional interference characteristic of the ultrasonic phased array can be utilized, accurate noise injection of illegal recording equipment is achieved, and therefore vehicle-mounted voice privacy is effectively protected under the condition that normal voice communication is not affected.

The invention discloses a test run sound-based engine fault intelligent identification method and system, and the method comprises the following steps: collecting normal sound data of normal starting of an engine test run, carrying out the DTW similarity and frequency domain similarity evaluation of the collected normal sound data, and obtaining a similarity evaluation threshold value; fault sound data to be analyzed are collected, DTW similarity and frequency domain similarity evaluation is carried out on the fault sound data and normal sound data to obtain a similarity evaluation result, the similarity evaluation result is compared with a similarity evaluation threshold value, and the state of the engine is judged. According to the method, the engine fault is analyzed from the sound dimension, the dimension and accuracy of fault monitoring are improved, the working time is shortened, the fault analysis efficiency is improved, and the method has a wide application prospect.

A noise reduction earphone based on a convolutional neural network belongs to the technical field of noise reduction earphones and comprises a noise power generation and energy storage device, a microphone array, a preprocessing module, a convolutional neural network module, a noise reduction module and a loudspeaker which are connected in sequence. The microphone array, the preprocessing module, the convolutional neural network module, the noise reduction module and the loudspeaker are all connected with a storage battery of the noise power generation and energy storage device. The earphone provided by the invention can generate power by collecting noise without external power supply, and can automatically identify the noise, filter the noise and automatically play normal sound, thereby facilitating communication in a noise place and judging abnormal sound. The method is wide in application prospect, can be applied to places with high noise, such as pump rooms, factory buildings and workshops, and achieves the purposes of recognizing and filtering noise, carrying out voice communication and listening to abnormal sound.

The utility model provides voice interaction equipment. The voice interaction equipment comprises an outer shell, a first sound device and a second sound device, a containing cavity is formed in the outer shell, and the outer shell is provided with a sound transmission part used for allowing sound waves to enter and exit from the containing cavity. The first sound device and the second sound device are both arranged in the accommodating cavity, a sound wave propagation area is formed between the first sound device and the sound transmission part, and the second sound device is located in the sound wave propagation area; one of the first sound device and the second sound device is a sound production device, and the other one is a sound reception device. According to the utility model, the number of the sound transmission structures on the outer shell is effectively reduced while the normal voice interaction function of the equipment is ensured, so that the probability that the sound transmission structures are blocked is reduced, the waterproof performance of the equipment is improved, and the equipment is good in use stability and good in use experience.

The application discloses an intelligent cabin vehicle self-service voice interaction method and device, equipment and storage medium, the method receives user voice instruction and carries out voiceprint identification, determines the user identity identifier, acquires the historical behavior data corresponding to the user identity identifier;When the historical behavior data meets the preset self-service trigger condition, the default execution instruction is generated and enters the preset waiting period, and whether there is a breaking instruction is monitored in the preset waiting period;According to the breaking monitoring result and time state in the preset waiting period, the default execution instruction is determined or the normal voice interaction process is turned in;The number of multi-round voice interactions in the driving scene can be significantly reduced to reduce the distraction risk, and the preset waiting period and the breaking instruction monitoring mechanism are combined to provide the opportunity for instant intervention for the user, so that the safety hidden danger caused by the misoperation is effectively avoided while the voice interaction efficiency and convenience are improved, and the balance between automatic execution and user control right is realized.

This invention provides a noise reduction and sound pickup device and method. The noise reduction and sound pickup device includes at least one noise pickup, a target sound pickup device, and a sound signal processing unit. The at least one noise pickup is positioned close to a corresponding noise source, suitable for acquiring ambient noise emitted by the noise source and generating an ambient noise frequency signal. The target sound pickup device is positioned close to a target sound source, suitable for acquiring the target sound from the target sound source and generating a target sound frequency signal. The sound signal processing unit inverts and amplifies at least a portion of the frequency signal in the ambient noise frequency signal, superimposes the inverted and amplified ambient noise signal with the target sound signal to obtain a useful sound, and outputs the useful sound. The noise reduction and sound pickup device and method can acquire and eliminate various complex noises emitted by large equipment, while simultaneously preserving and amplifying the required sound signal to ensure normal voice communication and improve communication quality.

This application relates to a method for automatically switching between mesh calls and 5G data network calls. Specifically a Bluetooth device constructs a mesh network to form a mesh group One of the nodes is used as the master node, and an online loop is created on the AP P. All Bluetooth devices communicate with the application in a two-way dynamic heartbeat data mode, and the cloud synchronizes information in the virtual network formed by mapping the nodes; The voice data between online nodes is communicated in mesh mode; when the nodes of Bluetooth devices are offline or reconnected, the node device automatically switches to the data network mode through the application and performs network communication using the data network mode via the cloud. This automatic switching method between mesh calls and 5G data network calls monitors the online status of the device in real time and automatically switches the voice data transmission to the cloud network when the device / node goes offline, thereby ensuring the normal voice data transmission and reception of non - communicating nodes and ensuring the real - time nature, continuity and completeness of voice data transmission. ​

An automatic inspection system includes a wireless slave device and a wireless master device. The wireless slave device includes a sound collection unit that collects sound generated from an inspection target object, an analysis unit that analyzes the collected sound to obtain a degree of difference between the collected sound and normal sound learned in advance and sound state information of the collected sound, as an analysis result, a wireless communication unit that wirelessly transmits data including the analysis results to a wireless master device, and a power supply unit that supplies power to the sound collection unit, the analysis unit, and the wireless communication unit. The wireless master device is configured to perform processing of receiving and managing the data from the wireless slave device, and transmitting the analysis result extracted from the data to a monitoring terminal that monitors a state of the inspection target object.

The invention relates to the field of hearing aids, in particular to an attenuation transient detection method of a hearing aid, comprising a body module, a control module, a mounting module and a detection module, the body module comprises a hearing aid main body and an external ear pendant, the hearing aid body comprises a shell, a key, a broadcaster, a sound receiver, a battery, a charging interface and a processor, the battery, the charging interface and the processor are installed in the hearing aid body, and the external ear hanging piece is hung on an external ear and used for installing and supporting the hearing aid body. Therefore, the whole hearing aid is reinforced and prevented from being collided and falling off in a noisy environment, meanwhile, the storage module is leaked, the telescopic module pushes the sound receiving module to enter the outer side of the broadcaster at the moment, the played sound is collected and compared with the normal sound standard, and the sound quality is improved. And the played sound is adjusted in real time according to a comparison result, so that normal use of a hearing aid user is facilitated.

The application discloses a sound-based capacitor fault detection method and related device, the method comprising: using a VAD method to perform endpoint detection on a preset sound signal to obtain a noise-reduced sound signal; performing feature extraction on the noise-reduced sound signal based on a mel-frequency cepstral coefficient to obtain a sound feature vector; inputting the sound feature vector into a preset SVM classifier to perform fault detection to obtain a detection result, wherein the detection result comprises abnormal sound and normal sound. The application can alleviate the technical problem that the existing capacitor fault detection is prone to missed detection.

The present application relates to a method for automatic switching between mesh push-to-talk and 5G data network push-to-talk. The method comprises: Bluetooth devices creating mesh networks and performing mesh networking; using one node as a master node, and creating an online group on an application by means of the master node; all the Bluetooth devices communicating with the application by means of a bidirectional dynamic heartbeat data mode, and performing information synchronization by means of a virtual network formed by cloud-mapped nodes; communicating voice data between online nodes by means of a mesh mode; and when a Bluetooth device node is offline or reconnected, the node device automatically switching to a data network mode by means of the application, and using the data network mode to perform networked communication by means of a cloud. In the method for automatic switching between mesh push-to-talk and 5G data network push-to-talk, the online status of devices is monitored in real time, and automatic switching to a cloud network is performed for voice data transmission when a device / node is offline, thereby ensuring normal voice data transmission and reception of a disconnected node, and thus also ensuring the real-time performance, coherence and integrity of voice data transmission.

The utility model discloses a windproof patch which comprises a first windproof layer and a second windproof layer, and a second bonding layer is arranged on the inner wall surface of the second windproof layer. The second windproof layer is stacked and fixed on the inner wall surface of the first windproof layer through the first bonding layer, and the second bonding layer is arranged on the inner wall surface of the second windproof layer, so that when the windproof patch is bonded on the earphone shell, the windproof patch covers the microphone hole; the inner side face of the second windproof layer, the inner wall face of the first windproof layer and the surface of the shell define the sound inlet cavity, wind noise attacks, the windproof patch protects the microphone hole on the inner side, most of wind noise energy can be shielded, reflected or absorbed by the first windproof layer, and when a person wearing the earphone calls, the sound inlet cavity and the windproof patch are not damaged. Sound waves can be transmitted to the microphone hole through the sound inlet cavity of the windproof patch, normal voice receiving cannot be affected, and the earphone is easy to install, can be selectively used according to personal requirements for wind noise and is also suitable for various types of earphones.