10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Improving Broadcast News Transcription with a Precision Grammar and Discriminative Reranking

Tobias Kaufmann, Thomas Ewender, Beat Pfister

ETH Zürich, Switzerland

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 broad-domain speech recognition task due to a precision grammar.

Full Paper

Bibliographic reference.  Kaufmann, Tobias / Ewender, Thomas / Pfister, Beat (2009): "Improving broadcast news transcription with a precision grammar and discriminative reranking", In INTERSPEECH-2009, 356-359.