Voice activity detection(VAD)plays a crucial role in speech processing,especially in automatic speech recognition(ASR).It identifies the boundaries of the speech to be recognized and the boundary accuracies may significantly affect the recognition performance.Conventional VAD evaluation criteria are mostly based on frame-level accuracy of speech/nonspeech classification,which may result in weak correlation between VAD and ASR performance.