Blind dereverberation algorithm for speech signals based on multi-channel linear prediction
نویسندگان
چکیده
منابع مشابه
Dereverberation of speech signals based on linear prediction
This paper proposes an algorithm for the blind dereverberation of speech signals based on a two-channel linear prediction. Traditional dereverberation methods usually achieve good performance when the input signal is white noise. However, when dealing with colored signals generated by an autoregressive (AR) process such as speech, the generating AR process is deconvolved causing excessive white...
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It has been shown that the multi-channel linear prediction (MCLP) can achieve blind speech dereverberation effectively. However, it always degrades the binaural cues which are exploited for human sound localization, i.e., interaural time differences (ITD) and interaural level differences (ILD). To overcome this problem, the multiple input-single output structure of conventional MCLP is modified...
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A blind dereverberation method based on power spectral subtraction (SS) using a multi-channel least mean squares algorithm was previously proposed. The results of isolated word speech recognition experiments showed that this method achieved significant improvement over conventional cepstral mean normalization (CMN). In this paper, we propose a blind dereverberation method based on generalized s...
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ژورنال
عنوان ژورنال: Acoustical Science and Technology
سال: 2005
ISSN: 1346-3969,1347-5177
DOI: 10.1250/ast.26.432