Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

Using Segmental Coefficients in HMM Speech Recognition

Kai Hübener

Department of Computer Science, University of Hamburg, Hamburg, Germany

This paper presents a new kind of acoustic features for HMM speech recognition. These features try to capture phone-specific segmentation information using multiple temporal resolutions. Experiments show that word accuracy is improved by 7% when combining these features with traditional mel-cepstral coefficients in a speaker-independent word recogniser. This improvement is mostly due to a reduced number of segmentation errors.

Full Paper

Bibliographic reference.  Hübener, Kai (1995): "Using segmental coefficients in HMM speech recognition", In EUROSPEECH-1995, 935-938.