5th European Conference on Speech Communication and Technology

Rhodes, Greece
September 22-25, 1997

Multi-Band and Adaptation Approaches to Robust Speech Recognition

Sangita Tibrewala (1), Hynek Hermansky (1,2)

(1) Oregon Graduate Institute of Science and Technology, Portland, Oregon, USA
(2) International Computer Science Institute, Berkeley, California, USA

In this paper we present two approaches to deal with degradation of automatic speech recognizers due to acoustic mismatch in training and testing environments. The first approach is based on the multi-band approach to automatic speech recognition (ASR). This approach is shown to be inherently robust to frequency selective degradation. In the second approach, we present a conceptually simple unsupervised feature adaptation technique, based on recursive estimation of means and variances of the cepstral parameters to compensate for the noise effects. Both techniques yield significant reduction in error rates.

Full Paper

Bibliographic reference.  Tibrewala, Sangita / Hermansky, Hynek (1997): "Multi-band and adaptation approaches to robust speech recognition", In EUROSPEECH-1997, 2619-2622.