Experiments on stress-dependent phone modelling for continuous speech recognition
- 1 January 1992
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 561-564 vol.1
- https://doi.org/10.1109/icassp.1992.225846
Abstract
Stress is an important feature for speech recognition. The acoustic realization of a stressed phone trends to be rather different from its unstressed counterpart, and stress may be a distinctive feature for lexical classification, as in the case for English. In most cases stress is important for understanding the meaning of an utterance, and is thus related to syntax and semantics. The authors focus on the acoustic modeling of stressed phones, and, particularly, on stressed vowels. The recognition system is based on discrete HMM phone models, and has been developed within the European ESPRIT-POLYGLOT 2041 project. The influence of the stress feature on acoustic modeling is being assessed on two different continuous speech databases in two different languages (French and American-English), as the effect of stress on the acoustic evidence may be language-dependent. First results concerning phonetic and lexical evaluations are given.<>Keywords
This publication has 4 references indexed in Scilit:
- Context-dependent modeling for acoustic-phonetic recognition of continuous speechPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Explicit modeling of vowel coarticulation in continuous speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Improved acoustic modeling for speaker independent large vocabulary continuous speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Vowel Amplitude and Phonemic Stress in American EnglishThe Journal of the Acoustical Society of America, 1959