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Publication Type : Conference Paper
Publisher : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Source : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, International Speech Communication Association, Volume 2018-September, p.2152-2156 (2018)
Keywords : Chebfun, Chebyshev interpolation, Chebyshev polynomials, Dynamic programming, extraction, Fundamental frequencies, Hilbert envelope, Identification accuracy, Identification rates, Interpolation, Microphones, Natural frequencies, Polynomials, Speech communication, speech processing, Zero-frequency filtering
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2018
Abstract : Epoch in speech, represent the instant where maximum excitation at the vocal tract is obtained. Existing epoch extraction algorithms are capable of accurately extracting epoch information from clean speech signals. However, epoch extraction of band limited signals such as telephonic speech is challenging due to the attenuation of the fundamental frequency components. The present work is focused on improving the performance of epoch extraction from telephonic speech signals by exploiting the properties of Chebyshev polynomial interpolation and by reinforcing the frequency components around the fundamental frequency through the Hilbert envelope (HE). The proposed algorithm brings a refinement of the existing Zero Frequency Filtering (ZFF) method by incorporating Chebyshev interpolation. The proposed refinements to the ZFF algorithm confirmed to provide improved epoch identification rate, identification accuracy, reduced miss rate and false alarm rate. The epoch identification rate of the proposed method is observed to be better than existing methods like Dynamic Programming Phase Slope Algorithm (DYPSA), Speech Event Detection using the Residual Excitation And a Mean-based Signal (SEDREAMS), Dynamic Plosion Index (DPI) and Single Pole Filtering (SPF) methods for telephonic speech quality. © 2018 International Speech Communication Association. All rights reserved.
Cite this Research Publication : G. B. Gowri, Dr. Soman K. P., Govind, D., P., R., P.K., G., B., Y., H.A., M., S., U., P., A., S.R.M., P., and S., N., “Improved epoch extraction from telephonic speech using chebfun and zero frequency filtering”, in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2018, vol. 2018-September, pp. 2152-2156.