Ten lectures on wavelets
Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
Non-stationary self-consistent acoustic objects as atoms of voiced speech
NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
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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.