Provided are a voice activity detection method and apparatus for emotion recognition, an electronic device, and a storage medium, relating to artificial intelligence. The method comprises: acquiring an audio signal (S1); performing a processing operation on the audio signal, the operation comprising: adding a pure noise segment and a human voice noise segment under multiple scenes to the audio signal and randomly setting a signal-to-noise ratio (S2); extracting MFCC characteristics of the processed audio signal and second-order difference characteristics thereof (S3); inputting the characteristics into a neural network model, and extracting high-dimensional information of the audio signal and adjacent correlation characteristics of the audio signal (S4); inputting the extracted high-dimensional information and correlation characteristics of the audio signal into a fully connected network model to obtain a detection result of each frame of the audio signal, the detection result comprising human voice and non-human voice (S5); and segmenting, according to the detection result of the audio signal, the audio signal into a human voice part and a non-human voice part (S6). The voice activity detection method can accurately implement voice activity detection in a low signal-to-noise ratio environment and a non-stable environment.
VOICE ACTIVITY DETECTION METHOD AND APPARATUS FOR EMOTION RECOGNITION, ELECTRONIC DEVICE, AND STORAGE MEDIUM