7th International Conference on Spoken Language Processing

September 16-20, 2002
Denver, Colorado, USA

Robust Time-Synchronous Environmental Adaptation for Continuous Speech Recognition Systems

Thomas Plötz, Gernot A. Fink

Bielefeld University, Germany

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 [1] 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.


Full Paper

Bibliographic reference.  Plötz, Thomas / Fink, Gernot A. (2002): "Robust time-synchronous environmental adaptation for continuous speech recognition systems", In ICSLP-2002, 1409-1412.