A simplified decoding method for a robust distant-talking ASR concept based on feature-domain dereverberation (2008)
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| Venue: | Proc. International Workshop for Acoustic Echo and Noise Control (IWAENC |
| Citations: | 2 - 2 self |
BibTeX
@INPROCEEDINGS{Sehr08asimplified,
author = {Armin Sehr and Walter Kellermann},
title = {A simplified decoding method for a robust distant-talking ASR concept based on feature-domain dereverberation},
booktitle = {Proc. International Workshop for Acoustic Echo and Noise Control (IWAENC},
year = {2008}
}
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Abstract
A simplified decoding method for the concept of REverberation MOdeling for Speech recognition (REMOS) [1] is proposed. In order to achieve robust distant-talking Automatic Speech Recognition (ASR), the REMOS concept uses a combination of clean-speech HMMs and a reverberation model to perform feature-domain dereverberation during decoding. The simplified decoding/dereverberation method proposed in this contribution significantly reduces the computational complexity of the concept without a major performance reduction. Index Terms — Dereverberation, robust ASR, reverberation model, feature-domain processing.
