Abstract
An HMM continuous Hebrew phoneme recognition system, that requires no manual segmentation for its training was developed. A relatively small Hebrew data base was acquired for training and recognition of phonemes in continuous speech. One of the main problems in phoneme recognition, that of manual segmentation of the training data base, was overcome by a special training algorithm. The Viterbi algorithm was used in the recognition stage, and the evaluation of the results was done with the Levenshtein distance measure. Initial recognition results of Hebrew phonemes for speaker independent, text dependent case, where 69.4% correct phoneme recognition.
| Original language | English |
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| Pages | 3.2.1/1-5 |
| State | Published - 1 Jan 1995 |
| Event | Proceedings of the 18th Convention of Electrical and Electronics Engineers in Israel - Tel Aviv, Isr Duration: 7 Mar 1995 → 8 Mar 1995 |
Conference
| Conference | Proceedings of the 18th Convention of Electrical and Electronics Engineers in Israel |
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| City | Tel Aviv, Isr |
| Period | 7/03/95 → 8/03/95 |
ASJC Scopus subject areas
- General Engineering