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: A method for generating a musical score, a device, and a computer-readable storage medium. The method includes: obtaining target audio; generating a chromagram of the target audio corresponding to each pitch class, utilizing the chromagram to identify a chord of the target audio, and obtaining chord information; performing mode detection on the target audio, and obtaining original key information; performing rhythm detection on the target audio and obtaining the beats per minute; performing identification on a beat type of each audio frame of the target audio, and determining an audio time signature on the basis of a correspondence relationship between a beat type and a time signature; utilizing the chord information, the original key information, the beats per minute, and the audio time signature and performing musical score rendering, and obtaining a target musical score.

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 for generating a Midi file, a storage medium and a terminal are provided. The method includes: acquiring notation data of to-be-configured music, and determining a musical instrument corresponding to the music; determining the number of audio tracks in the Midi file based on the number of strings of the musical instrument; reading a chord from the notation data, and determining a string identifier of the musical instrument corresponding to the chord by searching a playing technique data table; determining a fingering corresponding to the string identifier by searching a chord fingering data table; determining a scale corresponding to the chord based on the fingering, and determining a scale sequence comprising scales based on a chord order; and determining a playing style of each meter in the scale sequence, and writing the scale sequence and the playing styles into the respective audio tracks, to generate the Midi file.

Abstract: Provided is a method for extracting a video segment, including: acquiring a boundary value of content of a video, wherein the boundary value includes an upper boundary, a lower boundary, a left boundary, and a right boundary; acquiring a plurality of first segments by performing key frame segmentation on the video; detecting an upper boundary of subtitles in each of the plurality of first segments; detecting a face position in each of the plurality of first segments; selecting, from the plurality of first segments, a second segment in which the face position satisfies a preset condition; and acquiring a third segment without subtitles by cropping the second segment based on an upper boundary of subtitles in the second segment.

Abstract: Provided a method for playing audios. The method includes: acquiring vibration control information corresponding to a target audio, wherein at least one vibration period and vibration attribute information corresponding to the at least one vibration period are recorded in the vibration control information, and each vibration period corresponds to a beat period of a target percussive instrument in the target audio; synchronously playing the target audio and the vibration control information; and when any vibration period of the at least one vibration period is played, controlling a terminal to vibrate based on vibration attribute information corresponding to the vibration period.

Abstract: A method for generating a subtitle, an electronic device, and a computer-readable storage medium are provided. The method includes the following. A song audio signal is extracted from target video data. A target song corresponding to the song audio signal and a time position of the song audio signal in the target song are determined. Lyric information corresponding to the target song is obtained, where the lyric information includes one or more lyrics, and the lyric information further includes a starting time and duration of each lyric and/or a starting time and duration of each word in each lyric. A subtitle is rendered in the target video data based on the lyric information and time position to obtain target video data with a subtitle.

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 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: 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 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 generating a remix. The method comprises: obtaining at least two audios which are different singing versions of a same song: extracting, from each audio, a vocal signal and an instrumental signal to obtain a vocal set the vocal signal of each audio and a instrumental set comprising the instrumental signal of each audio: aligning tracks of all vocal signals in the vocal set based on reference rhythm information selected from rhythm information of all vocal signals in the vocal set, where all vocal signals having the aligned tracks serve as to-be-mixed vocal audios: determining an instrumental signal, of which a track is aligned with those of the to-be-mixed vocal audios, from the instrumental set as a to-be-mixed instrumental audio: and mixing the to-be-mixed vocal audios with the to-be-mixed instrumental audio to obtain the remix.

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 an apparatus for generating a remix. The method comprises: obtaining at least two audios which are different singing versions of a same song: extracting, from each audio, a vocal signal and an instrumental signal to obtain a vocal set the vocal signal of each audio and a instrumental set comprising the instrumental signal of each audio: aligning tracks of all vocal signals in the vocal set based on reference rhythm information selected from rhythm information of all vocal signals in the vocal set, where all vocal signals having the aligned tracks serve as to-be-mixed vocal audios: determining an instrumental signal, of which a track is aligned with those of the to-be-mixed vocal audios, from the instrumental set as a to-be-mixed instrumental audio: and mixing the to-be-mixed vocal audios with the to-be-mixed instrumental audio to obtain the remix.

Abstract: Provided is a method for playing media data. The method includes: receiving a trigger instruction; generating a second count value based on a stored first count value and a preset algorithm, and storing the second count value to overwrite the first count value, wherein the second count value is different from the first count value; generating audio data carrying a pre-stored authority identifier and the second count value; and playing the audio data, wherein the audio data is configured to instruct a second terminal to acquire the authority identifier and the second count value carried in the audio data, and send the authority identifier and the second count value to a server, and the second terminal is a terminal that has received the audio data.

Abstract: An audio generation method, an audio generation device, and a storage medium are provided. The method includes: receiving an audio generation instruction input by a user, wherein the audio generation instruction is used to indicate a two-dimensional image that the user wants to embed into generated target audio; obtaining a target grayscale image of the two-dimensional image in response to the audio generation instruction; converting grayscale data of each pixel in the target grayscale image into frequency-domain data of each pixel in a spectrogram, to obtain a target spectrogram; and generating target audio corresponding to the target spectrogram by using the target spectrogram.

Abstract: A method and apparatus for audio processing, an electronic device, and a computer-readable storage medium are provided in the present disclosure. The method includes: obtaining a target dry audio, and determining a beginning and ending time of each lyric word in the target dry audio; detecting a pitch of the target dry audio and a fundamental frequency during the beginning and ending time, and determining a current pitch name of the lyric word based on the fundamental frequency and the pitch; tuning up the lyric word by a first key interval to obtain a first harmony, and tuning up the lyric word by different second key intervals respectively to obtain different second harmonies; synthesizing the first harmony and the second harmonies to form a multi-track harmony; and mixing the multi-track harmony with the target dry audio to obtain a synthesized dry audio.

Abstract: An audio processing method, an apparatus, a device and a medium are provided. The method includes: acquiring a to-be-processed humming audio and music information corresponding to the to-be-processed humming audio, the music information including note information and beat per minute information; determining chords corresponding to the to-be-processed humming audio based on the note information and the beat per minute information; generating an MIDI file corresponding to the to-be-processed humming audio based on the note information and the beat per minute information; generating a chord accompaniment audio corresponding to the to-be-processed humming audio based on the beat per minute information, the chords and a pre-acquired chord accompaniment parameter, the chord accompaniment parameter being a chord accompaniment generation parameter set by a user; and outputting the MIDI file and the chord accompaniment audio.

Abstract: A pitch adjustment method and apparatus, and a computer storage medium are provided. the fundamental frequency sequence of the singing sound of the user is obtained, the pitch difference between each candidate melody file and the fundamental frequency sequence at each corresponding time point is calculated, and the sum of all pitch differences of each candidate melody file is calculated. The candidate melody file with the minimum sum is determined as the target melody file, and the pitch of the accompaniment file of the target song is adjusted according to the pitch difference between the target melody file and the original melody file of the target song.