Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

Combining HMM Processing and Formant Measurements in Automatic Speech Recognition

Dave Abberley, Phil Green

Speech and Hearing Research Group, Department of Computer Science, University of Sheffield, Sheffield, UK

HMM-based continuous speech recognition (CSR) systems have proved very successful despite the well-known limitations of HMMs as models of speech production. Recent work in pattern classification has demonstrated the performance advantages of combining sets of classifiers operating on complementary sources of input data. We have investigated this approach on a CSR task by combining conventional HMM processing with formant measurements. Our results show that this can significantly improve phone-level classification performance.

Full Paper

Bibliographic reference.  Abberley, Dave / Green, Phil (1995): "Combining HMM processing and formant measurements in automatic speech recognition", In EUROSPEECH-1995, 2209-2212.