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Phoneme Recognition Output Post-Processing for Word Sequences Decoding
The paper presents advances in a multi-level automatic speech understanding approach that is ini-tially developed for highly inflective languages with relatively free word order. Two levels are con-sidered. On the first level it is applied a phoneme recognizer, which output is post-processed at the...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН та МОН України
2015
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| Series: | Індуктивне моделювання складних систем |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/125020 |
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| Summary: | The paper presents advances in a multi-level automatic speech understanding approach that is ini-tially developed for highly inflective languages with relatively free word order. Two levels are con-sidered. On the first level it is applied a phoneme recognizer, which output is post-processed at the second level. The proposed model of post-processing involves acoustic and phonetic features to-gether with lexicon and spontaneous speech peculiarities. A way to estimate the post-processor pa-rameters is described. |
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