Abstract
The exact pitch(fundamental frequency) extraction is important in speech signal processing like speech recognition, speech analysis and synthesis. However the exact pitch extraction from speech signal is very difficult due to the effect of formant and transitional amplitude. So in this paper, the pitch is detected after the elimination of formant ingredients by flattening the spectrum in frequency region. The effect of the transition and change of phoneme is low in frequency region. In this paper we proposed the new flattening method of log spectrum and the performance was compared with LPC method and Cepstrum method. The results show the proposed method is better than conventional method.
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© 2006 Springer-Verlag Berlin Heidelberg
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Lee, K.W., Lee, K.H., Min, S.Y. (2006). A Study on the Pitch Extraction Detection by Linear Approximation of Sub-band. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751588_114
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DOI: https://doi.org/10.1007/11751588_114
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34072-0
Online ISBN: 978-3-540-34074-4
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