Time-frequency signal decompositions for audio and speech processing

Auteurs-es

  • 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

Mots-clés :

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

Résumé

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.

Fichiers supplémentaires

Publié-e

2005-09-01

Comment citer

1.
Umapathy K, Krishnan S. Time-frequency signal decompositions for audio and speech processing. Canadian Acoustics [Internet]. 1 sept. 2005 [cité 7 mai 2026];33(3):58-9. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1744

Numéro

Vol. 33 No. 3 (2005)

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique

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