Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters
S. Windmann, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, p. I.
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Author
Windmann, Stefan;
Haeb-Umbach, ReinholdLibreCat
Abstract
A marginalized particle filter is proposed for performing single channel speech enhancement with a non-linear dynamic state model. The system consists of a particle filter for tracking line spectral pair (LSP) parameters and a Kalman filter per particle for speech enhancement. The state model for the LSPs has been learnt on clean speech training data. In our approach parameters and speech samples are processed at different time scales by assuming the parameters to be constant for small blocks of data. Further enhancement is obtained by an iteration which can be applied on these small blocks. The experiments show that similar SNR gains are obtained as with the Kalman-LM-iterative algorithm. However better values of the noise level and the log-spectral distance are achieved
Keywords
clean speech training data;
iterative methods;
iterative speech enhancement;
Kalman filter;
Kalman filters;
Kalman-LM-iterative algorithm;
line spectral pair parameters;
log-spectral distance;
marginalized particle filter;
noise level;
nonlinear dynamic state speech model;
particle filtering (numerical methods);
single channel speech enhancement;
SNR gains;
speech enhancement;
speech samples
Publishing Year
Proceedings Title
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)
Volume
1
Page
I
LibreCat-ID
Cite this
Windmann S, Haeb-Umbach R. Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006). Vol 1. ; 2006:I. doi:10.1109/ICASSP.2006.1660058
Windmann, S., & Haeb-Umbach, R. (2006). Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) (Vol. 1, p. I). https://doi.org/10.1109/ICASSP.2006.1660058
@inproceedings{Windmann_Haeb-Umbach_2006, title={Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters}, volume={1}, DOI={10.1109/ICASSP.2006.1660058}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)}, author={Windmann, Stefan and Haeb-Umbach, Reinhold}, year={2006}, pages={I} }
Windmann, Stefan, and Reinhold Haeb-Umbach. “Iterative Speech Enhancement Using a Non-Linear Dynamic State Model of Speech and Its Parameters.” In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 1:I, 2006. https://doi.org/10.1109/ICASSP.2006.1660058.
S. Windmann and R. Haeb-Umbach, “Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, vol. 1, p. I.
Windmann, Stefan, and Reinhold Haeb-Umbach. “Iterative Speech Enhancement Using a Non-Linear Dynamic State Model of Speech and Its Parameters.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), vol. 1, 2006, p. I, doi:10.1109/ICASSP.2006.1660058.
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