Sehr A, Kellermann W (2008)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2008
Pages Range: 168-171
Article Number: 4538713
ISBN: 9781424423385
DOI: 10.1109/HSCMA.2008.4538713
To achieve robust distant-talking automatic speech recognition in reverberant environments, the effect of reverberation on the speech feature sequences has to be modeled as accurately as possible. A convolution in the feature domain has been proposed recently in [1, 2, 3, 4] to capture the dispersion of the feature vectors caused by reverberation. These publications use a fixed representation of the acoustic path between speaker and microphone or an elementary statistical reverberation model based on simplifying assumptions. In this contribution, we propose a Monte-Carlo approach that allows for an explicit determination of the joint probability density function of a feature-domain reverbeation model. ©2008 IEEE.
APA:
Sehr, A., & Kellermann, W. (2008). New results for feature-domain reverberation modeling. In Proceedings of the 2008 Hands-free Speech Communication and Microphone Arrays, HSCMA 2008 (pp. 168-171). Trento, IT.
MLA:
Sehr, Armin, and Walter Kellermann. "New results for feature-domain reverberation modeling." Proceedings of the 2008 Hands-free Speech Communication and Microphone Arrays, HSCMA 2008, Trento 2008. 168-171.
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