A voice activity detection method and an apparatus are provided by embodiments of the present application. The method includes: performing framing processing on a voice to be detected to obtain a plurality of audio frames to be detected; obtaining an acoustic feature of each of the audio frames to be detected, and sequentially inputting the acoustic feature of the each of the audio frames to be detected to a VAD model, wherein the VAD model is configured to classify a first N voice frame in the voice to be detected as a noise frame, classify frames from an (N+1)-th voice frame to a last voice frame as voice frames, and classify a M noise frame after the last voice frame as a voice frame, where N and M are integers; and determining, according to a classification result output by the VAD model.