Blind signal separation for recognizing overlapped speech.
نویسندگان
چکیده
منابع مشابه
Applying Blind Signal Separation to the Recognition of Overlapped Speech
Blind signal separation method based on minimizing mutual information is applied to deal with multispeaker problem in speech recognition. Recognition experiments performed under di erent acoustic environments, in a soundproof room and a reverberant room, clarify that 1) the method can improve recognition accuracy by about 20% where SNR condition is 0 dB, 2) the method is more e ective when many...
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Signal processing methods for speech enhancement are of vital interest for communications equipments. In particular, multichannel algorithms, which perform spatial filtering to separate signals that have overlapping frequency content but different spatial origins, are important for a wide range of applications. Two of the most popular multichannel methods are blind signal separation (BSS) and b...
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Hyung-Min Park , Ho-Young Jung , Te-Won Lee , and Soo-Young Lee Department of Electrical Engineering and Brain Science Research Center, Korea Advanced Institute of Science and Technology, 373-1, Kusong-dong, Yusong-gu, Taejon, 305-701, Korea (TEL: +82-42-869-8031, FAX: +82-42-869-8570, E-mail: [email protected]) Computational Neurobiology Laboratory The Salk Institute 10010 N. Torrey Pines...
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A novel method is proposed to improve the performance of independent vector analysis (IVA) for blind signal separation of acoustic mixtures. IVA is a frequency-domain approach that successfully resolves the well-known permutation problem by applying a spherical dependency model to all pairs of frequency bins. The dependency model of IVA is equivalent to a single clique in an undirected graph; a...
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In this paper it is shown that a Blind Signal Separation (BSS) method in the frequency domain (FDBSS) improves significantly the speaker Signal to Interference Ratio (SIR) and the phoneme recognition score of a continuous speech, speaker-independent acoustic decoder in a multi-simultaneous-speaker office environment. Specifically, the efficiency of the presented FDBSS method is studied on a TIT...
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ژورنال
عنوان ژورنال: Journal of the Acoustical Society of Japan (E)
سال: 1998
ISSN: 0388-2861,2185-3509
DOI: 10.1250/ast.19.385