A novel approach for MFCC feature extraction
MA Hossan, S Memon… - 2010 4th international …, 2010 - ieeexplore.ieee.org
MA Hossan, S Memon, MA Gregory
2010 4th international conference on signal processing and …, 2010•ieeexplore.ieee.orgThe Mel-Frequency Cepstral Coefficients (MFCC) feature extraction method is a leading
approach for speech feature extraction and current research aims to identify performance
enhancements. One of the recent MFCC implementations is the Delta-Delta MFCC, which
improves speaker verification. In this paper, a new MFCC feature extraction method based
on distributed Discrete Cosine Transform (DCT-II) is presented. Speaker verification tests
are proposed based on three different feature extraction methods including: conventional …
approach for speech feature extraction and current research aims to identify performance
enhancements. One of the recent MFCC implementations is the Delta-Delta MFCC, which
improves speaker verification. In this paper, a new MFCC feature extraction method based
on distributed Discrete Cosine Transform (DCT-II) is presented. Speaker verification tests
are proposed based on three different feature extraction methods including: conventional …
The Mel-Frequency Cepstral Coefficients (MFCC) feature extraction method is a leading approach for speech feature extraction and current research aims to identify performance enhancements. One of the recent MFCC implementations is the Delta-Delta MFCC, which improves speaker verification. In this paper, a new MFCC feature extraction method based on distributed Discrete Cosine Transform (DCT-II) is presented. Speaker verification tests are proposed based on three different feature extraction methods including: conventional MFCC, Delta-Delta MFCC and distributed DCT-II based Delta-Delta MFCC with a Gaussian Mixture Model (GMM) classifier.
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