An efficient voice activity detection algorithm by combining statistical model and energy detection
نویسندگان
چکیده
منابع مشابه
An efficient voice activity detection algorithm by combining statistical model and energy detection
In this article, we present a new voice activity detection (VAD) algorithm that is based on statistical models and empirical rule-based energy detection algorithm. Specifically, it needs two steps to separate speech segments from background noise. For the first step, the VAD detects possible speech endpoints efficiently using the empirical rulebased energy detection algorithm. However, the poss...
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Voice Activity Detection (VAD) is a crucial step for speech processing, which detecting accuracy and speed directly affects the effect of subsequent processing. Some voice processing system based phone or in the indoor environment, which need simple and quick method of VAD, for these representative voice signal, this paper proposes a new algorithm which is adaptive and quick based on a major im...
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Statistical model based voice activity detection (VAD) is commonly used in various speech related research and applications. In this paper, we try to improve the performance of statistical model based VAD via new feature extraction method. Our main innovation focuses on that we apply Mel-frequency subband coefficients with power-law nonlinearity as feature for statistical model based VAD instea...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2011
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2011-18