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| Authors: | Tobias Kaufmann, Thomas Ewender, Beat Pfister |
| Group: | Computer Engineering |
| Type: | Inproceedings |
| Title: | Improving broadcast news transcription with a precision grammar and discriminative reranking |
| Year: | 2009 |
| Month: | September |
| Pub-Key: | KEP09 |
| Book Titel: | Proceedings of Interspeech |
| Pages: | 356-359 |
| Keywords: | speech processing |
| Abstract: | We propose a new approach of integrating a precision grammar into speech recognition. The approach is based on a novel robust parsing technique and discriminative reranking. By reranking 100-best output of the LIMSI German broadcast news transcription system we achieved a significant reduction of the word error rate by 9.6% relative. To our knowledge, this is the first significant improvement for a real-world road-domain speech recognition task due to a precision grammar. |
| Location: | Brighton (UK) |
| Resources: | [BibTeX] [Paper as PDF] |
