Adapted local trigonometric transforms and speech processing

Adapted local trigonometric transforms and speech processing

Uses an algorithm based on the adapted-window Malvar transform to decompose digitized speech signals into a local time-frequency representation. The authors present some applications and experimental results for a signal compression and automatic voiced-unvoiced segmentation. This decomposition prov...

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Veröffentlicht in:IEEE transactions on signal processing 1993-12, Vol.41 (12), p.3596-3600
Hauptverfasser: Wesfreid, E., Wickerhauser, M.V.
Format: Artikel
Sprache:eng
Schlagworte:
Discrete transforms
Frequency domain analysis
Laplace equations
Matrix decomposition
Nonlinear filters
Signal processing
Signal processing algorithms
Signal resolution
Speech coding
Speech processing
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Beschreibung
Zusammenfassung:Uses an algorithm based on the adapted-window Malvar transform to decompose digitized speech signals into a local time-frequency representation. The authors present some applications and experimental results for a signal compression and automatic voiced-unvoiced segmentation. This decomposition provides a method of parameter simplification which appears to be useful for detecting fundamental frequencies, and characterizing formants.< >
ISSN:1053-587X
1941-0476
DOI:10.1109/78.258104