Abstract
The method of speaker normalization has been known as the successful method for improving the speech recognition at speaker independent speech recognition system. This paper propose a new power spectrum warping approach to making improvement of speaker normalization better than a frequency warping. The power spectrum warping uses Mel-frequency cepstral of Mel filter bank in MFCC. Also, this paper proposes the hybrid VTN combined the power spectrum warping and a frequency warping. Experiment of this paper did a comparative analysis about the recognition performance of the SKKU PBW DB applied each the power spectrum is 3.06%, and hybrid VTN is 4.07% word error rate reduction as word recognition performance of baseline system.
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© 2006 Springer-Verlag Berlin Heidelberg
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Roh, YW., Kim, JH., Kim, DJ., Hong, KS. (2006). A Hybrid Warping Method Approach to Speaker Warping Adaptation. In: Bloch, I., Petrosino, A., Tettamanzi, A.G.B. (eds) Fuzzy Logic and Applications. WILF 2005. Lecture Notes in Computer Science(), vol 3849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676935_18
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DOI: https://doi.org/10.1007/11676935_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32529-1
Online ISBN: 978-3-540-32530-7
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