Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

Flexible Speech Recognition

Sadaoki Furui

NTT Human Interface Laboratories, Tokyo, Japan; Tokyo Institute of Technology, Tokyo, Japan

This paper overviews the main methods that have recently been investigated for making speech recognition systems more flexible at both the acoustic and linguistic processing levels. Improved flexibility will enable such systems to work well over a wide range of unexpected and adverse conditions by helping them to cope with variations between training and testing speech utterances. This paper focuses on the Bayesian adaptive learning approach, the minimum classification error (MCE) approach, the HMM composition technique, and spontaneous speech recognition techniques.

Full Paper

Bibliographic reference.  Furui, Sadaoki (1995): "Flexible speech recognition", In EUROSPEECH-1995, 1595-1604.