Voice Activity Detection Based on High Order Statistics and Online EM Algorithm
نویسندگان
چکیده
منابع مشابه
Voice Activity Detection Using Higher Order Statistics
A robust and effective voice activity detection (VAD) algorithm is proposed for improving speech recognition performance in noisy environments. The approach is based on filtering the input channel to avoid high energy noisy components and then the determination of the speech/non-speech bispectra by means of third order autocumulants. This algorithm differs from many others in the way the decisi...
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We have proposed a method for real-time, unsupervised voice activity detection (VAD). In this paper, problems of feature selection and classification scheme are addressed. 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. Comparative effectiveness on several HOS is shown. The classific...
متن کاملA 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 new voice activity detection algorithm based on long-term pitch divergence is presented. The long-term pitch divergence not only decomposes speech signals with a bionic decomposition but also makes full use of long-term information. It is more discriminative comparing with other feature sets, such as long-term spectral divergence. Experimental results show that among six analyzed algorithms, ...
متن کاملSpeech Endpoint Detection Based on High Order Statistics
For automatic speech recognition, endpoint detection is required to isolate the speech of interest so as to be able to create a speech pattern or template. The process of separating the speech segments of an utterance from the nonspeech segments obtained during the recording process is called endpoint detection. In this paper, we present new endpoint detection algorithm based on high order stat...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2008
ISSN: 0916-8532,1745-1361
DOI: 10.1093/ietisy/e91-d.12.2854