New results for feature-domain reverberation modeling

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Sehr A, Kellermann W
Publication year: 2008
Pages range: 168-171
ISBN: 9781424423385
Language: English


Abstract


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.


FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Sehr, Armin Dr.-Ing.
Professur für Nachrichtentechnik


How to cite

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.

BibTeX: 

Last updated on 2019-17-05 at 15:08