Voice Activity Detection
نویسندگان
چکیده
• Voice activity detection is the process by which algorithms called Voice Activity Detectors (VADs) are able to distinguish regions that contain speech from regions that do not contain speech in an audio signal • Several features distinguish speech from nonspeech, however, where the speech signal is corrupted by background noise it becomes more and more difficult to characterize these features and make a decision
منابع مشابه
A New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)
Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...
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متن کاملA Wavelet-Based Voice Activity Detection Algorithm in Variable-Level Noise Environment
In this paper, a novel entropy-based voice activity detection (VAD) algorithm is presented in variable-level noise environment. Since the frequency energy of different types of noise focuses on different frequency subband, the effect of corrupted noise on each frequency subband is different. It is found that the seriously obscured frequency subbands have little word signal information left, and...
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تاریخ انتشار 2011