Robust speech recognition using singular value decomposition based speech enhancement
نویسندگان
چکیده
منابع مشابه
.robust Speech Recognition Using Singular Value Decomposition Based Speech Enhancement
Speech recognition systems work reasonably well in laboratory conditions, but their performance deteriorates drastically when they are deployed in practical situations where the speech is corrupted by additive noise. One way to improve the performance of a speech recognition system in the presence of noise, is to enhance the speech prior to its recognition. Two singular value decomposition base...
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Automatic Speech Recognition (ASR) has matured into a technology which is becoming more common in our everyday lives, and is emerging as a necessity to minimise driver distraction when operating in-car systems such as navigation and infotainment. In “noise-free” environments, word recognition performance of these systems has been shown to approach 100%, however this performance degrades rapidly...
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In this paper a new approach for speech enhancement is presented. The proposed algorithm is based on singular value decomposition (SVD) and wavelet transform. A model of contaminant noise is estimated by using SVD in the recommended method and then, using of noise estimation determines thresholding value. Needlessness of silence frame in order to estimate the noise model is an advantage of sugg...
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The singular value decomposition of a rectangular data matrix can be used to understand the structure of the data and give insight into the relationships of the row and column factors. For example, the rows linked to the rows might be experimental conditions of temperature and the experimental conditions linked to the columns might pressure. In a biological setting the rows might be linked to t...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1996
ISSN: 0001-4966
DOI: 10.1121/1.416480