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| Authors: | René Beutler, Beat Pfister |
| Group: | Computer Engineering |
| Type: | Inproceedings |
| Title: | Integrating statistical and rule-based knowledge for continuous German speech recognition |
| Year: | 2003 |
| Month: | September |
| Pub-Key: | BP03a |
| Book Titel: | Proceedings of Eurospeech 2003 |
| Pages: | 937-940 |
| Abstract: | A new approach to continuous speech recognition (CSR) for German is presented, which integrates both statistical knowledge (at the acoustic-phonetic level) and rule-based knowledge (at the word and sentence levels). We introduce a flexible framework allowing bidirectional processing and virtually any search strategy given an acoustic model and a context-free grammar. An implementation of this class of recognizers by means of a word spotter and an island char parser is presented. A word recognition accuracy of 93.5 is reported on a speaker dependent recognition task with a 4k words dictionary. |
| Location: | Geneva, Switzerland |
| Resources: | [BibTeX] |
