16 results about "Sound file" patented technology

A system for customization of on-road sound production for a vehicle includes one or more noise generators supported relative to the vehicle and configured to produce a soundscape in an environment of the vehicle. The system further includes memory storing instructions that, when executed by one or more processors, cause the processor(s) to generate the soundscape from a sound file based on an indication of a user-preferred sound file of multiple files, an environmental context surrounding the vehicle, or both. The instructions cause the processor(s) to determine whether an operational status of the vehicle is suitable for on-road operation. The instructions cause the processor(s) to further produce, in response to a determination that the operational status of the vehicle is suitable for on-road operation, the soundscape utilizing the noise generator(s) while the operational status of the vehicle is suitable for on-road operation.

A sound data acquisition unit 110 acquires recording data obtained by recording environmental sound. A sound source separation unit 112 separates the recording data into environmental sound data and sound effect data. A first generation unit 116 generates an environmental sound file including the separated environmental sound data. A second generation unit 118 generates a sound effect file including the separated sound effect data.

A sound source file acquisition unit 12 acquires a sound source file in which sound is recorded. A sound file generation unit 14 generates a sound file including one sound from the acquired sound source file.

The application relates to an adversarial sample generation method and device, electronic equipment and a storage medium, wherein the method comprises the following steps: generating a text set for a target result output by a misleading speech recognition model; generating a sound file set based on the text set, wherein the sound file set comprises multiple candidate audios; screening a reference audio of the target result from the multiple candidate audios; analyzing a decoding result of the speech recognition model on the reference audio to obtain a target pronunciation feature of the target result; constructing a target loss function based on the target pronunciation feature; determining a target perturbation amount based on an original audio and a loss value of the target loss function; and generating an adversarial sample based on the original audio and the target perturbation amount. According to the application, a Chinese speech recognition adversarial sample with high robustness, high transferability and good concealment can be generated.

The application discloses a video color ring multi-dimension auditing and warehousing method and device, electronic equipment and medium, comprising: preprocessing a target video color ring to obtain media information, a background sound file, a plurality of target I frames and target hash values corresponding to the target I frames; performing picture score auditing on the target video color ring according to the media information, the target I frames and the target hash values; performing picture duplication checking auditing on the target video color ring according to the target hash values; performing multi-level risk control auditing on the target video color ring according to the background sound file; and when the target video color ring passes the picture score auditing, the picture duplication checking auditing and the multi-level risk control auditing, performing transcoding storage on the target video color ring according to the media information. The application improves the efficiency and reliability of video color ring auditing and warehousing, and can be widely applied to the technical field of video processing.

Systems and methods for configuring a hearing aid device may include automatically: selecting a sound file from a sound database, processing the sound file with a first set of parameter settings to generate two distinct coarse stimuli, playing the two distinct coarse stimuli to a user, recording a preferred coarse setting by the user, processing the sound file with a second set of parameter settings to generate two distinct shape stimuli, playing the two distinct shape stimuli to the user, recording a preferred shape setting by the user, processing the sound file with a third set of parameter settings to generate two distinct fine resolution stimuli, playing the two distinct fine resolution stimuli to the user, recording a preferred fine resolution setting by the user, and determining hearing aid parameter settings for the user based on the fine resolution setting.

The application discloses a video ringback tone different-viewing-angle recommendation method, comprising the following steps: S1, after a calling number dials a called number, call information is triggered to a core network; S2, the core network forwards the call information to a corresponding ringback tone calling node; S3, the ringback tone calling node queries a video ringback tone ID to be played according to the call information; S4, the ringback tone calling node forwards the call information and the corresponding ringback tone ID to a BM; S5, the BM acquires user attributes and historical viewing records, calculates a calling viewing-angle preference, compares each video viewing angle corresponding to the ID, and calculates a sound file information played to the user; S6, the BM returns the sound file information of the preferred viewing angle to the ringback tone calling node; S7, the ringback tone calling node selects the sound file to play; and S8, the ringback tone calling node returns a media stream to the core network and plays the preferred video to the calling user. The application can generate the video ringback tone content to be played according to the calling user attributes and the video viewing records, and intelligently plays and views the recommended viewing angle.

Disclosed in the present invention are a method and system for smart recognition of an environmental noise class, and a storage medium. The method comprises: classifying environmental noise into a plurality of environmental noise classes; acquiring sound files for respective environmental noise classes, and manually applying noise class labels; preprocessing the sound files on which the noise class labels have been applied, to obtain a plurality of preprocessed sound segments; performing feature extraction on the preprocessed sound segments, to obtain sound segment features; constructing a noise class recognition model on the basis of the environmental noise classes and the sound segment features; and inputting the sound segment features into the noise class recognition model for model training, and using the trained noise class recognition model to recognize a noise type of a sound segment to be recognized and a confidence corresponding to the noise type. The present invention perfects existing environmental noise monitoring indexes and can provide a basis for noise management.

An adaptive voice extraction and TTS adaptation system based on audiogram includes a sound collection and content extraction module, an audiogram adaptive TTS synthesis module, a wireless transmission and secondary gain module, and an audiogram test tool; the sound collection and content extraction module is used for collecting sound signals in different scenes, and identifying the corresponding speaker identity for each piece of text information; the audiogram test tool tests the hearing of the listener, outputs the audiogram parameters of the listener, the audiogram adaptive TTS synthesis module receives the text information, the corresponding speaker identity and the audiogram parameters, and generates a personalized TTS sound file; the wireless transmission and secondary gain module is in communication connection with the audiogram adaptive TTS synthesis module, and after receiving the TTS sound file, the secondary spectral gain adjustment is carried out according to the audiogram parameters. The present application can effectively shield environmental noise and realize individualized adaptation of audiogram.

Provide a system. 【Solution means】 Voice sensor means for detecting the voice of a specific person, Recording means for recording the detected voice, Timestamp adding means for adding a timestamp to the voice file, Person recognition means for recognizing an object held by a person, Imaging means for imaging the recognized object, Timestamp adding means for adding a timestamp to the image file, Editing means for editing the recorded voice file and the imaged image file, Saving means for saving the edited file, Transmission means for sharing the saved file via a communication network, A system including.

A sound data acquisition unit 110 acquires recorded data in which environmental sound is recorded. A sound source separation unit 112 separates the recorded data into environmental sound data and sound effect data. A sound file generation unit 114 specifies position information corresponding to the separated sound effect, and generates a sound effect file including the sound effect data and the position information.

The invention discloses a motor abnormal sound detection method, a motor abnormal sound detection system and a motor abnormal sound verification method. The motor abnormal sound detection method comprises the steps of collecting an operation sound sample of a motor at a stepped variable rotating speed through a microphone in a sound insulation environment; performing signal cross analysis on multiple groups of normal samples, and automatically generating a reference sound gear and a characteristic parameter threshold value; during on-line detection, sound characteristics of a motor to be detected are extracted and are subjected to double cross comparison with a reference sound gear, and whether abnormal sound exists or not is comprehensively judged by combining multi-sensor fusion data with a combined rotating speed analysis result. The system comprises a customized soundproof box, a shockproof microphone array, a multi-type motor driving control module, a multi-sensor synchronous acquisition module and an integrated analysis processing platform. According to the invention, the problems of signal attenuation, insufficient samples, analysis distortion, tedious system operation and the like in traditional detection are solved, and high-precision, high-adaptability and integrated motor abnormal noise online detection is realized.

An audio data acquisition unit 110 acquires audio data. An audio file generation unit 112 divides the acquired audio data into a plurality of pieces of divided audio data and generates a plurality of audio files including the divided audio data. A similarity derivation unit 114 derives the similarity between two pieces of the divided audio data. A similarity recording unit 124 records the derived similarity between the two pieces of the divided audio data.

Device for the auditory reproduction of sound sequences upon approach to an art / picture object, comprising • a picture carrier that represents a work of art, • a motion sensor to detect approach or movement in the area of ​​the image carrier, • a control unit that is connected to the motion sensor and triggers the output of a sound sequence upon detection of movement, • a memory module with a large number of stored sound files (sounds, tones, nature sounds, musical pieces) that are relevant to the theme, • at least one audio output unit (speaker) for playing back the sound sequence, • a power supply (battery or AC adapter).

The invention provides an audio data processing method and system, and the method comprises the steps: obtaining original audio data through an audio obtaining module, obtaining first target audio data in a pulse code modulation format according to the original audio data, transmitting the first target audio data to an audio working thread module, the audio working thread module correspondingly processes the first target audio data to obtain second target audio data and transmits the second target audio data to the audio processing main thread module, and the audio processing main thread module performs sound channel identification and separation processing on the second target audio data in an audio recording stage to obtain audio data; the method comprises the steps of obtaining sound channel branch audio data corresponding to a corresponding sound channel, converting the sound channel branch audio data corresponding to the corresponding sound channel into corresponding integer audio data, and obtaining a target audio file in a sound file format according to the integer audio data corresponding to the corresponding sound channel in an audio recording stop stage. And audio data processing can be better realized through the double-thread module.