Abstract: A method and an apparatus for evaluating voice quality are provided. In the method, a playback of a standard audio is recorded to obtain a to-be-evaluated signal. Then a first power spectrum of the to-be-evaluated signal on a critical frequency band is determined to obtain a first spectrogram. Then a second power spectrum of a reference signal corresponding to the standard audio on a critical frequency band is determined to obtain a second spectrogram, where the reference signal is a sampled signal corresponding to the standard audio. Then an image similarity between the first spectrogram and the second spectrogram is determined to obtain a voice quality score of the to-be-evaluated signal.

Abstract: Provided is a sound quality detection method, including: acquiring a plurality of audio files to be detected, wherein the plurality of audio files are homologous audio files; acquiring at least one audio feature of each of the plurality of audio files by performing feature extraction on the audio file, and generating a correspondence list between the at least one audio feature of each of the plurality of audio files and an audio file identifier; and determining, using a sound quality detection model, a sound quality score of each of the plurality of audio files based on the correspondence list between the at least one audio feature of each of the plurality of audio files and the audio file identifier, wherein the sound quality detection model is configured to detect sound quality of homologous audio files.

Abstract: A method for rendering lyrics is provided, including: acquiring pronunciation of a polyphonic word to be rendered in target lyrics, and acquiring playback time information of the pronunciation in the process of rendering the target lyrics; determining a first number of furiganas contained in the pronunciation; and word-by-word simultaneously rendering, according to the first number and the playback time information of the pronunciation of the polyphonic word to be rendered, the polyphonic word to be rendered and each furigana in the pronunciation of the polyphonic word to be rendered, wherein the pronunciation of the polyphonic word to be rendered is adjacent to and parallel to the polyphonic word to be rendered.

Abstract: Implementation of the disclosure provides an audio processing method, a device, a terminal and a computer-readable storage medium. The method can include the following. An audio to-be-matched and a reference audio are obtained. A frequency spectrum distribution of the audio to-be-matched and a frequency spectrum distribution of the reference audio are obtained. A target filter set for matching the audio to-be-matched with the reference audio is determined according to the frequency spectrum distribution of the audio to-be-matched and the frequency spectrum distribution of the reference audio. The target filter set is determined as a matching rule for the audio to-be-matched and the reference audio. An audio playing device is compensated by using the matching rule to adjust an audio playing effect of the audio playing device; and an audio is played through the compensated audio playing device.

Abstract: A method and an apparatus for virtual listening scene construction and a storage medium are provided. The method includes the following. Target audio is determined, where the target audio is used to characterize a sound feature in a target scene. A position of a sound source of the target audio is determined. Dual-channel audio of the target audio is obtained by performing audio-visual modulation on the target audio according to the position of the sound source, where the dual-channel audio of the target audio during simultaneous output is able to produce an effect that the target audio is from the position of the sound source. The dual-channel audio of the target audio is rendered into target music to produce an effect that the target music is played in the target scene.

Abstract: Disclosed is a method, an apparatus, and a device for transient noise detection. The method includes: obtaining an audio frame signal having a preset duration; performing wavelet decomposition on a first audio frame signal to obtain a first wavelet decomposition signal corresponding to the first audio frame signal; determining a first reference audio intensity value of a first sub-wavelet decomposition signal according to reference audio intensity values of all samples in the first sub-wavelet decomposition signal; determining energy distribution information of the first wavelet decomposition signal according to first reference audio intensity values of all sub-wavelet decomposition signals in the first wavelet decomposition signal; and determining a probability that the first audio frame signal is transient noise according to the energy distribution information of the first wavelet decomposition signal.

Abstract: A method for accompaniment purity class evaluation and related devices are provided. Multiple first accompaniment data and a label corresponding to each of the multiple first accompaniment data are obtained, the label being used to indicate that corresponding first accompaniment data is pure instrumental accompaniment data or instrumental accompaniment data with background noise. An audio feature of each of the multiple first accompaniment data is extracted. Model training is performed according to the audio feature of each of the multiple first accompaniment data and the label corresponding to each of the multiple first accompaniment data, to obtain a neural network model for accompaniment purity class evaluation, a model parameter of the neural network model being determined according to an association relationship between the audio feature of each of the multiple first accompaniment data and the label corresponding to each of the multiple first accompaniment data.

Abstract: An accompaniment classification method and apparatus is provided. The method includes the following. A first type of audio features of a target accompaniment is obtained (S301, S401). Data normalization is performed on each kind of audio features in the first type of audio features of the target accompaniment to obtain a first feature-set of the target accompaniment and the first feature-set is input into a first classification model for processing (S302, S402). A first probability value output by the first classification model for the first feature-set is obtained (S303, S403). An accompaniment category of the target accompaniment is determined to be a first category of accompaniments when the first probability value is greater than a first classification threshold (S404). The accompaniment category of the target accompaniment is determined to be other categories of accompaniments when the first probability value is less than or equal to the first classification threshold.

Abstract: A method and a device for audio repair and a readable storage medium are provided. The method includes the following. Multiple audio frames are sequentially inputted into a cache module, where the cache module is sequentially composed of multiple processing units, and a processing unit located at a center of the multiple processing units is a center processing unit (201). At least one audio frame contained in the center processing unit is assigned as a target frame (202). A noise point presented as a short-term high-energy pulse in the target frame is detected according to audio characteristics of the multiple audio frames in the cache module (203). The target frame is repaired to remove the noise point in the target frame (204).

Abstract: A method and apparatus for detecting a valid voice signal and a non-transitory computer readable storage medium are provided. A first audio signal including at least one audio frame signal is obtained. Multiple wavelet decomposition signals respectively corresponding to the at least one audio frame signal are obtained. A wavelet signal sequence is obtained by combining the multiple wavelet decomposition signals. A maximum value and a minimum value among audio intensity values of all sample points are obtained, and a first audio intensity threshold is determined according to the maximum value and the minimum value. Sample points each having an audio intensity value greater than the first audio intensity threshold in the wavelet signal sequence are obtained, and a signal of sample points in the first audio signal corresponding to the sample points each having an audio intensity value greater than the first audio intensity threshold is determined as the valid voice signal.

Abstract: A method and an apparatus for video frame processing are provided. The method includes: obtaining a convolutional neural network (CNN) feature and a local feature of a target video frame; performing dimension reduction on the CNN feature to obtain a CNN feature with a reduced dimension of the target video frame; obtaining a first video frame from multiple sample video frames, a distance between a CNN feature with a reduced dimension of the first video frame and the CNN feature with the reduced dimension of the target video frame meets a first preset condition; obtaining a local feature of the first video frame; calculating a matching degree between the local feature of the first video frame and the local feature of the target video frame; determining the first video frame as a duplicate video frame of the target video frame if the matching degree meets a second preset condition.

Abstract: A method of playing audio data including: upon receiving a searching instruction of a target audio, displaying a video corresponding to an audio name of the target audio on a search result list; upon detection that the video corresponding to the audio name is being played, determining whether a background playing function is enabled; and when the background playing function is enabled, upon detection that an interface of playing the video is exited, making the video to continue being played in the background, that the video's picture is not displayed on a current screen. An apparatus of playing audio data and a computer-readable storage medium are further provided.

Abstract: A method of playing audio data including: upon receiving a searching instruction of a target audio, displaying a video corresponding to an audio name of the target audio on a search result list; upon detection that the video corresponding to the audio name is being played, determining whether a background playing function is enabled; and when the background playing function is enabled, upon detection that an interface of playing the video is exited, making the video to continue being played in the background, that the video's picture is not displayed on a current screen. An apparatus of playing audio data and a computer-readable storage medium are further provided.