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Contribution from the accuracy of phoneme recognition to the quality of automatic recognition of Russian speech
The dependence of the quality of automatic recognition of Russian speech on the accuracy of feature descriptions and their distribution model is considered. A list of eight phonemes is given whose accuracy of recognition makes the greatest contribution to the quality of speech recognition.
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Published in: | Moscow University computational mathematics and cybernetics 2016-04, Vol.40 (2), p.89-95 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The dependence of the quality of automatic recognition of Russian speech on the accuracy of feature descriptions and their distribution model is considered. A list of eight phonemes is given whose accuracy of recognition makes the greatest contribution to the quality of speech recognition. |
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ISSN: | 0278-6419 1934-8428 |
DOI: | 10.3103/S0278641916020060 |