Bayesian feature enhancement using a mixture of unscented transformations for uncertainty decoding of noisy speech

Yusuke Shinohara; Masami Akamine

doi:10.1109/ICASSP.2009.4960647

Bayesian feature enhancement using a mixture of unscented transformations for uncertainty decoding of noisy speech

Yusuke Shinohara, Masami Akamine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Citations (Scopus)

Abstract

A new parameter estimation method for the Model-Based Feature Enhancement (MBFE) is presented. The conventional MBFE uses the vector Taylor series to calculate the parameters of non-linearly transformed distributions, though the linearization leads to a degraded performance. We use the unscented transformation to estimate the parameters, where a minimal number of samples propagated through the nonlinear transformation are used. By avoiding the linearization, the parameters are estimated more accurately. Experimental results on Aurora2 show that the proposed method reduces the word error rate by 8.48% relatively, while the computational cost is just modestly higher, compared with the conventional MBFE.

Original language	English
Title of host publication	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Pages	4569-4572
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2009.4960647
Publication status	Published - 2009
Externally published	Yes
Event	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan, Province of China Duration: 2009 Apr 19 → 2009 Apr 24

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Country/Territory	Taiwan, Province of China
City	Taipei
Period	09/4/19 → 09/4/24

Keywords

Feature enhancement
Noisy speech recognition
Uncertainty decoding
Unscented transformation
Vector Taylor series

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2009.4960647

Cite this

Shinohara, Y., & Akamine, M. (2009). Bayesian feature enhancement using a mixture of unscented transformations for uncertainty decoding of noisy speech. In 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009 (pp. 4569-4572). [4960647] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2009.4960647

Bayesian feature enhancement using a mixture of unscented transformations for uncertainty decoding of noisy speech. / Shinohara, Yusuke; Akamine, Masami.

2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009. 2009. p. 4569-4572 4960647 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shinohara, Y & Akamine, M 2009, Bayesian feature enhancement using a mixture of unscented transformations for uncertainty decoding of noisy speech. in 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009., 4960647, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4569-4572, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, Taipei, Taiwan, Province of China, 09/4/19. https://doi.org/10.1109/ICASSP.2009.4960647

Shinohara Y, Akamine M. Bayesian feature enhancement using a mixture of unscented transformations for uncertainty decoding of noisy speech. In 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009. 2009. p. 4569-4572. 4960647. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2009.4960647

Shinohara, Yusuke ; Akamine, Masami. / Bayesian feature enhancement using a mixture of unscented transformations for uncertainty decoding of noisy speech. 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009. 2009. pp. 4569-4572 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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Bayesian feature enhancement using a mixture of unscented transformations for uncertainty decoding of noisy speech

Abstract

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Keywords

ASJC Scopus subject areas

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