Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model

A novel Kalman filtering/smoothing algorithm is presented for efficient and accurate estimation of vocal tract resonances or formants, which are natural frequencies and bandwidths of the resonator from larynx to lips, in fluent speech. The algorithm uses a hidden dynamic model, with a state-space fo...

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Veröffentlicht in:	IEEE transactions on audio, speech, and language processing speech, and language processing, 2007, Vol.15 (1), p.13-23
Hauptverfasser:	Li Deng, Lee, L.J., Attias, H., Acero, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive filters Adaptive piecewise linearization adaptive residual parameter learning Algorithms Applied sciences Bandwidth Coding, codes continuous dynamics Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filtering algorithms formant analysis Frequency estimation hidden dynamic model Information, signal and communications theory Kalman filtering Kalman filters Mathematical analysis Mathematical models nonlinear prediction Nonlinearity Resonance Resonant frequency Resonator filters Signal and communications theory Signal processing Signal, noise Smoothing Smoothing methods Speech Speech processing state-space model Studies Telecommunications and information theory Tracking vocal tract resonance
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