Scale-invariant speech analysis via joint time-frequency-scale processing

Leon Cohen; Nenad M. Marinovic; Srinivasan Umesh; Douglas J. Nelson

doi:10.1117/12.217607

1 September 1995 Scale-invariant speech analysis via joint time-frequency-scale processing

Leon Cohen, Nenad M. Marinovic, Srinivasan Umesh, Douglas J. Nelson

Proceedings Volume 2569, Wavelet Applications in Signal and Image Processing III; (1995) https://doi.org/10.1117/12.217607
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

We argue that an important aspect of the human speech signal is scaling in the frequency domain. We discuss the two physical mechanisms responsible for the scaling. The first mechanism is that when we have a harmonic signal whose fundamental is frequency modulated then the spectrum is the sum of scaled functions. The second comes about from the consideration that while different speakers have very different size vocal tracts (for example an adult and a child), we none the less produce speech which is similar in some sense. We will argue and present evidence to show that the speaker differences result in scaling in the frequency domain. We further discuss how one can handle scale processing.

Citation Download Citation

Leon Cohen, Nenad M. Marinovic, Srinivasan Umesh, and Douglas J. Nelson "Scale-invariant speech analysis via joint time-frequency-scale processing", Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); https://doi.org/10.1117/12.217607

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