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

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Speech and Computer (SPECOM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9811))

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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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References

  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)

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  2. Griffin, D.W., Lim, J.S.: Multiband excitation vocoder. IEEE Trans. Acoustic Speech Signal Process. 36(8), 1223–1235 (1988)

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  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)

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  4. de Cheveigne, A., Kawahara, H.: YIN, a fundamental frequency estimator for speech and music. J. Acoust. Soc. Am. 111(4), 1917–1930 (2002)

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Acknowledgments

The work was supported by Saint Petersburg State University, project 6.37.349.2015.

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Correspondence to Aleksandr Melnikov .

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© 2016 Springer International Publishing Switzerland

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Barabanov, A., Melnikov, A. (2016). Trade-Off Between Speed and Accuracy for Noise Variance Minimization (NVM) Pitch Estimation Algorithm. In: Ronzhin, A., Potapova, R., Németh, G. (eds) Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science(), vol 9811. Springer, Cham. https://doi.org/10.1007/978-3-319-43958-7_87

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43957-0

  • Online ISBN: 978-3-319-43958-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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