On-the-fly lattice rescoring for real-time automatic speech recognition
Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010, ss.2450-2453, 2010 (Scopus)
- Yayın Türü: Makale / Özet
- Basım Tarihi: 2010
- Dergi Adı: Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010
- Derginin Tarandığı İndeksler: Scopus
- Sayfa Sayıları: ss.2450-2453
- Anahtar Kelimeler: Automatic speech recognition, Low latency ASR, On-the-fly lattice rescoring
- Boğaziçi Üniversitesi Adresli: Evet
Özet
This paper presents a method for rescoring the speech recognition lattices on-the-fly to increase the word accuracy while preserving low latency of a real-time speech recognition system. In large vocabulary speech recognition systems, pruned and/or lower order n-gram language models are often used in the first-pass of the speech decoder due to the computational complexity. The output word lattices are rescored offline with a better language model to improve the accuracy. For real-time speech recognition systems, offline lattice rescoring increases the latency of the system and may not be appropriate. We propose a method for on-the-fly lattice rescoring and generation, and evaluate it on a broadcast speech recognition task. This first-pass lattice rescoring method can generate rescored lattices with less than 20% increased computation over standard lattice generation without increasing the latency of the system. © 2010 ISCA.