Time-frequency signal decompositions for audio and speech processing

Authors

  • Karthikeyan Umapathy Dept. of Elec. and Comp. Engg., University of Western Ontario, London, Ont. N6A 5B8
  • Sridhar Krishnan Dept. of Elec. and Comp. Engg., Ryerson University, Toronto, Ont. M5B 2K3

Keywords:

Audio acoustics, Frequencies, Functions, Pattern recognition, Speech processing, Frequency band mapping (TWFB), Gaussian TF function, Matching pursuit (MP), TF decomposition

Abstract

A unified adaptive TF decomposition based methodology for processing audio and speech signals was presented. The proposed methodology uses an adaptive TF transform (ATFT) based on the matching pursuit (MP) algorithm with Gaussian TF function. MP when used with a dictionary of TF functions yields an adaptive time-frequency transformation. A novel time-width vs frequency band mapping (TWFB) is also developed which demonstrates high potential to form as a versatile parametric visualization/pattern recognition tool.

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Published

2005-09-01

How to Cite

1.
Umapathy K, Krishnan S. Time-frequency signal decompositions for audio and speech processing. Canadian Acoustics [Internet]. 2005 Sep. 1 [cited 2021 Sep. 24];33(3):58-9. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1744

Issue

Section

Proceedings of the Acoustics Week in Canada