Improved feature enhancement using temporal filtering in speech recognition
نویسندگان
چکیده
منابع مشابه
Improved feature enhancement using temporal filtering in speech recognition
The difference between training and testing environments is the major reason of performance degradation of speech recognition. In this paper, to further decrease the mismatch, we apply temporal filtering, Auto-Regression and Moving-Average (ARMA) filtering or RelAtive SpecTrAl (RASTA) filtering, as a post-processor for the log-Energy dynamic Range Normalization-Cepstral Mean and Variance Normal...
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Automatic speech recognition systems rely on feature extraction techniques to improve their performance. Static features obtained from each frame are usually enhanced with dynamical components using derivative operations (delta features). However, the susceptibility to noise of the derivative impacts on the accuracy of the recognition in noisy environments. We propose an alternative to the delt...
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ژورنال
عنوان ژورنال: IEICE Electronics Express
سال: 2010
ISSN: 1349-2543
DOI: 10.1587/elex.7.1099