Abstract
Recently Empirical Mode Decomposition has been proposed as a nonlinear tool for the analysis of non stationary data. This paper concerns Empirical Mode Decomposition (EMD) of speech signal into intrinsic oscillatory mode functions IMFs and their spectral analysis. EMD is applied on speech signal, spectrogram of speech and IMFs are analysed. The different modes explored, underline the band-pass structure of IMFs. LPC analysis of the different modes shows that formant frequencies of voiced speech signal are still preserved.
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Bouzid, A., Ellouze, N. (2007). Voiced Speech Analysis by Empirical Mode Decomposition. In: Chetouani, M., Hussain, A., Gas, B., Milgram, M., Zarader, JL. (eds) Advances in Nonlinear Speech Processing. NOLISP 2007. Lecture Notes in Computer Science(), vol 4885. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77347-4_18
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DOI: https://doi.org/10.1007/978-3-540-77347-4_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77346-7
Online ISBN: 978-3-540-77347-4
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