Publication - On the Use of a Decimative Spectral Estimation Method based on Eigenanalysis and SVD for Formant and Bandwidth Tracking of Speech Signals
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On the Use of a Decimative Spectral Estimation Method based on Eigenanalysis and SVD for Formant and Bandwidth Tracking of Speech Signals

Research Area:  
    
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In Proceedings

 

Year: 2005
Authors: Sotiris Karabetsos; Pirros Tsiakoulis; Stavroula-Evita Fotinea; Ioannis Dologlou
Book title: Interspeech’2005: 9th European Conference on Speech Communication and Technology
Pages: 709-712
Address: Lisbon, Portugal
Date: September 4-8
Abstract:
In this paper, a Decimative Spectral estimation method based on Eigenanalysis and SVD (Singular Value Decomposition) is presented and applied to speech signals in order to estimate Formant/Bandwidth values. The underlying model decomposes a signal into complex damped sinusoids. The algorithm is applied not only on speech samples but on a small amount of the autocorrelation coefficients of a speech frame as well, for finer estimation. Correct estimation of Formant/Bandwidth values depend on the model order thus, the requested number of poles. Overall, experimentation results indicate that the proposed methodology successfully estimates formant trajectories and their respective bandwidths.
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