NDLI: Dynamic Speech Spectrum Representation and Tracking Variable Number of Vocal Tract Resonance Frequencies With Time-Varying Dirichlet Process Mixture Models

Content Provider	IEEE Xplore Digital Library
Author	Ozkan, E. Ozbek, I.Y. Demirekler, M.
Copyright Year	2006
Abstract	In this paper, we propose a new approach for dynamic speech spectrum representation and tracking vocal tract resonance (VTR) frequencies. The method involves representing the spectral density of the speech signals as a mixture of Gaussians with unknown number of components for which time-varying Dirichlet process mixture model (DPM) is utilized. In the resulting representation, the number of formants is allowed to vary in time. The paper first presents an analysis on the continuity of the formants in the spectrum during the speech utterance. The analysis is based on a new state space representation of concatenated tube model. We show that the number of formants which appear in the spectrum is directly related to the location of the constriction of the vocal tract (i.e., the location of the excitation). Moreover, the disappearance of the formants in the spectrum is explained by ldquouncontrollable modesrdquo of the state space model. Under the assumption of existence of varying number of formants in the spectrum, we propose the use of a DPM model based multi-target tracking algorithm for tracking unknown number of formants. The tracking algorithm defines a hierarchical Bayesian model for the unknown formant states and the inference is done via Rao-Blackwellized particle filter.
Sponsorship	IEEE Signal Processing Society
Starting Page	1518
Ending Page	1532
Page Count	15
File Size	1540489
File Format	PDF
ISSN	15587916
Volume Number	17
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech processing Resonance Resonant frequency Speech analysis State-space methods Inference algorithms Video recording Signal processing Gaussian processes Concatenated codes vocal tract resonance (VTR) Dirichlet process formant tracking particle filter spectral representation spectrum estimation
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering

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