Estimation of time-frequency complex phase-based speech attributes using narrow band filter banks

Karol Abratkiewicz; Krzysztof Czarnecki; Dominique Fourer; François Auger

doi:10.1109/sps.2017.8053673

Estimation of time-frequency complex phase-based speech attributes using narrow band filter banks

Abstract

In this paper, we present nonlinear estimators of nonstationary and multicomponent signal attributes (parameters, properties) which are instantaneous frequency, spectral (or group) delay, and chirp-rate (also known as instantaneous frequency slope). We estimate all of these distributions in the time-frequency domain using both finite and infinite impulse response (FIR and IIR) narrow band filers for speech analysis. Then, we present few examples including a novel type of imaging joining energy and phase acceleration in a single picture. Finally, we provide an open-source project - ccROJ - Time-Frequency C++ Framework of which we are authors and that is used for computing the presented figures.

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Authors (4)

Karol Abratkiewicz mgr inż.
Krzysztof Czarnecki dr inż.
Dominique Fourer
- UMR STMS, Paris, France
François Auger
- LUNAM University, Saint-Nazaire, France

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DOI:: Digital Object Identifier (open in new tab) 10.1109/SPS.2017.8053673
License: Copyright (2017 IEEE)

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Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Title of issue:: Signal Processing Symposium (SPSympo) strony 1 - 6
Language:: English
Publication year:: 2017
Bibliographic description:: Abratkiewicz K., Czarnecki K., Fourer D., Auger F..: Estimation of time-frequency complex phase-based speech attributes using narrow band filter banks, W: Signal Processing Symposium (SPSympo), 2017, ,.
DOI:: Digital Object Identifier (open in new tab) 10.1109/sps.2017.8053673
Verified by:: Gdańsk University of Technology