Estimation of time-frequency complex phase-based speech attributes using narrow band filter banks
Karol Abratkiewicz, Krzysztof Czarnecki, Dominique Fourer, François Auger · 2017
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.