TU Dortmund Department of Computer Science LS XII Pattern Recognition GroupPublications → Publication Details

Robust Time-Synchronous Environmental Adaptation For Continuous Speech Recognition Systems


T. Pl{\"o}tz and G. A. Fink
Proc. Int. Conf. on Spoken Language Processing, pages 1409-1412, Denver, 2002.

In this paper we describe system architectures for robust MLLR based environmental adaptation of continuous speech recognition systems. Inspired by an existing broadcast news transcription system we refined the identification of acoustic scenarios by using a combined GMM/HMM method. Thus environmental adaptation regarding arbitrary acoustic scenarios beyond speaker changes becomes possible. For deploying acoustic adaptation in interactive applications, such as human machine interaction, a time-synchronous adaptation approach is proposed. For different corpora the evaluation of our approaches shows significant improvements in recognition accuracy while satisfying the constraint of time-synchronous processing.

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