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Automatic Speech Recognition Based on Neural Networks Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Trade-Off Between Speed and Accuracy for Noise Variance Minimization (NVM) Pitch Estimation Algorithm

Authors : Andrey Barabanov, Aleksandr Melnikov

Published in: Speech and Computer

Publisher: Springer International Publishing

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Abstract

New version of NVM algorithm [3] in case of stationary voice model for precise estimation of the Fundamental frequency on a short time interval is proposed. Its computational complexity is proportional to that of FFT on the same time interval. A precise trade-off between approximation error and numerical speed is established.

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Literature
1.
Stylianou, Y.: Harmonic plus Noise Models for speech, combined with statistical methods, for speech and speaker modification. Ph.D. Thesis. Ecole Nationale Superieure des Telecommunications. Paris (1996)
2.
Griffin, D.W., Lim, J.S.: Multiband excitation vocoder. IEEE Trans. Acoustic Speech Signal Process. 36(8), 1223–1235 (1988)CrossRefMATH
3.
Barabanov, A., Melnikov, A., Magerkin, V., Vikulov, E.: Fast algorithm for precise estimation of fundamental frequency on short time intervals. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds.) SPECOM 2015. LNCS, vol. 9319, pp. 217–225. Springer, Heidelberg (2015)CrossRef
4.
de Cheveigne, A., Kawahara, H.: YIN, a fundamental frequency estimator for speech and music. J. Acoust. Soc. Am. 111(4), 1917–1930 (2002)CrossRef
Metadata
Title
Trade-Off Between Speed and Accuracy for Noise Variance Minimization (NVM) Pitch Estimation Algorithm
Authors
Andrey Barabanov
Aleksandr Melnikov
Copyright Year
2016
Book
Speech and Computer

Print ISBN: 978-3-319-43957-0

Electronic ISBN: 978-3-319-43958-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-43958-7_87

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