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.
Cite as: Karabetsos, S., Tsiakoulis, P., Fotinea, S.-E., Dologlou, I. (2005) On the use of a decimative spectral estimation method based on eigenanalysis and SVD for formant and bandwidth tracking of speech signals. Proc. Interspeech 2005, 709-712, doi: 10.21437/Interspeech.2005-203
@inproceedings{karabetsos05_interspeech,
author={Sotiris Karabetsos and Pirros Tsiakoulis and Stavroula-Evita Fotinea and Ioannis Dologlou},
title={{On the use of a decimative spectral estimation method based on eigenanalysis and SVD for formant and bandwidth tracking of speech signals}},
year=2005,
booktitle={Proc. Interspeech 2005},
pages={709--712},
doi={10.21437/Interspeech.2005-203}
}