Audio data processing method and apparatus, computer device, and storage medium

A computer device comprising a memory and a processor, the memory storing computer readable instructions that, when executed by the processor, cause the computer device to perform an audio data processing method including:

• dividing audio data into multiple sub-audios;
• separately extracting time domain features from the multiple sub-audios, the time domain features comprising an intermediate time domain feature and a target time domain feature;
• separately extracting frequency domain features from the multiple sub-audios, the frequency domain features comprising an intermediate frequency domain feature and a target frequency domain feature;
• performing feature fusion on intermediate time domain features corresponding to the multiple sub-audios and intermediate frequency domain features corresponding to the multiple sub-audios, to obtain fusion features corresponding to the multiple sub-audios;
• performing semantic feature extraction based on target time domain features, target frequency domain features, and the fusion features that are corresponding to the multiple sub-audios, to obtain audio semantic features corresponding to the multiple sub-audios;
• determining each music segment from the multiple sub-audios based on the audio semantic features corresponding to the multiple sub-audios and a music semantic feature corresponding to the music segment;
• and
• performing music segment clustering based on the music semantic feature corresponding to each music segment, to obtain a same-type music segment set.

A non-transitory computer readable storage medium, storing computer readable instructions that, when executed by a processor of a computer device, cause the computer device to perform an audio data processing method including:

• dividing audio data into multiple sub-audios;
• separately extracting time domain features from the multiple sub-audios, the time domain features comprising an intermediate time domain feature and a target time domain feature;
• separately extracting frequency domain features from the multiple sub-audios, the frequency domain features comprising an intermediate frequency domain feature and a target frequency domain feature;
• performing feature fusion on intermediate time domain features corresponding to the multiple sub-audios and intermediate frequency domain features corresponding to the multiple sub-audios, to obtain fusion features corresponding to the multiple sub-audios;
• performing semantic feature extraction based on target time domain features, target frequency domain features, and the fusion features that are corresponding to the multiple sub-audios, to obtain audio semantic features corresponding to the multiple sub-audios;
• determining each music segment from the multiple sub-audios based on the audio semantic features corresponding to the multiple sub-audios and a music semantic feature corresponding to the music segment;
• and
• performing music segment clustering based on the music semantic feature corresponding to each music segment, to obtain a same-type music segment set.