Sixth International Conference on Spoken Language Processing
October 16-20, 2000
A Corpus-Based Approach for Robust ASR in Reverberant Environments
Laurent Couvreur (1), Christophe Couvreur (1), Christophe Ris (2)
(1) Faculté Polytechnique de Mons, Belgium
In this paper, we discuss the use of artificial room reverberation
to increase the performance of automatic speech recognition
(ASR) systems in reverberant enclosures. Our approach consists
in training acoustic models on artificially reverberated speech material.
In order to obtain the desired reverberated speech training
database, we propose to use a reverberating filter whose impulse
response is designed to match two high-level acoustic properties
of the target reverberant operating environment, namely the
early-to-late energy ratio and the reverberation time. Speech recognition
experiments in simulated reverberant environments show
that recognizers trained on speech reverberated with the proposed
method outperform systems trained on clean speech, even when
channel normalization methods like CMS and logRASTA-PLP
are used. The extension of our approach to multi-style training
is also considered.
(2) Lernout & Hauspie Speech Products, Belgium
Couvreur, Laurent / Couvreur, Christophe / Ris, Christophe (2000):
"A corpus-based approach for robust ASR in reverberant environments",
In ICSLP-2000, vol.1, 397-400.