Voice activity detection based on facial movement
نویسندگان
چکیده
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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A robust voice activity detector (VAD) is expected to increase the accuracy of ASR in noisy environments. This study focuses on how to extract robust information for designing a robust VAD. To do so, we construct a noise eigenspace by the principal component analysis of the noise covariance matrix. Projecting noise speech onto the eigenspace, it is found that available information with higher S...
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Voice activity detection (VAD) is a basic component of noise reduction algorithms. In this paper, we propose a voice activity detector based on a sequential Gaussian Mixture Model (SGMM) in log-spectral domain. This model comprises two Gaussian components, which respectively describe the speech and nonspeech log-power distributions. The initial distributions are firstly established by EM algori...
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Unlike single microphone techniques for voice activity detection (VAD), multi-microphone signal processing usually exploits the spatial information of signals received at multiple microphones. In this paper, we propose a VAD algorithm based on conic constraints to achieve robustness against the direction of arrival (DOA) estimation error. The proposed algorithm uses the phase vector as feature ...
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ژورنال
عنوان ژورنال: Journal on Multimodal User Interfaces
سال: 2015
ISSN: 1783-7677,1783-8738
DOI: 10.1007/s12193-015-0187-2