The feature is based on High Order Statistics (HOS) to discriminate close and far-field talk, enhanced by a feature derived from the normalized autocorrelation.
The proposed method is confirmed to significantly outperform the baseline energy-based method, and the feature is based on High Order Statistics to ...
Aug 27, 2007 · A new online, unsupervised voice activity detection (VAD) method is proposed. The method is based on a feature derived from high-order ...
Aug 27, 2007 · We have proposed a method for real-time, unsupervised voice activity detection (VAD). In this paper, problems of feature se-.
Evaluation of Real-time Voice Activity Detection based on High Order Statistics ... VAD can be simply described as detecting speech boundaries from audio signal.
Evaluation of real-time voice activity detection based on high order statistics. Cournapeau D., Kawahara T. Expand. Publication type: Proceedings Article.
A new online, unsupervised voice activity detection (VAD) method is proposed. The method is based on a feature derived from high-order statistics (HOS), ...
A robust and effective voice activity detection (VAD) algorithm is proposed for improving speech recognition performance in noisy environments.
Missing: Evaluation | Show results with:Evaluation
PDF | This paper presents a robust algorithm for voice activity detection (VAD) based on newly established properties of the higher order statistics.
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Abstract: In speech compression systems, Voice Activity Detection (VAD) is frequently used to distinguish active voice from other noisy sounds.