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Decomposition of speech signals into a periodic and non-periodic part based on sinusoidal models

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1 Author(s)
Yannis, S. ; Groupe ESIEE, Noisy Le Grand, France

This paper focuses on the speech signals decomposition problem based on three sinusoidal models which can be viewed as three versions of a basic model: the Harmonic plus Noise Model, HNM. For the first model, noted as HNM1, the harmonic amplitudes are retained constants within the analysis frame; the phase is assumed to be linear. The second model, HNM2, makes use of linearly varying complex amplitudes for the harmonic part whereas, the third model, HNM3 , makes use of a third order polynomial with real coefficients for the harmonic amplitudes and also linear phase as the first model. To obtain the non-periodic part (or noise part) the harmonic part is simply subtracting from the original speech signal in the time domain

Published in:

Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on  (Volume:1 )

Date of Conference:

13-16 Oct 1996

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