Improving the performance of MFCC for Persian robust speech recognition
The Mel Frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. In this paper to achieve a satisfactorily performance in Automatic Speech Recognition (ASR) applications we introduce a noise robust new set of MFCC vector estimated t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Shahrood University of Technology
2015-10-01
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| Series: | Journal of Artificial Intelligence and Data Mining |
| Subjects: | |
| Online Access: | http://jad.shahroodut.ac.ir/article_397_83ccf4602e0c7288b8f5f5624b38793a.pdf |