Referenced Items are not available for this document.
Describes a method of pre-processing speech signal in order to increase phoneme recognition accuracy. The recognition of phonemes is performed by a neural network. Recognition is based on features of speech signal. The features have been selected in order to increase separability of phoneme classes and the recognition level. The proposed method can be easily applied to continuous multispeaker speech recognition system built of neural network and discrete hidden Markov models
Published in:
Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on
(Volume:1
)
Date of Conference: 1999
- Page(s):
- 287 - 290 vol.1
- Meeting Date :
- 05 Sep 1999-08 Sep 1999
- Print ISBN:
- 0-7803-5682-9
- INSPEC Accession Number:
- 6544271
- Conference Location :
- Pafos
- Digital Object Identifier :
- 10.1109/ICECS.1999.812279
- Product Type:
- Conference Publications
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