Paper: N-Best Rescoring Based on Pitch-accent Patterns

ACL ID P11-1074
Title N-Best Rescoring Based on Pitch-accent Patterns
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

In this paper, we adopt an n-best rescoring scheme using pitch-accent patterns to improve automatic speech recognition (ASR) perfor- mance. The pitch-accent model is decoupled from the main ASR system, thus allowing us to develop it independently. N-best hypothe- ses from recognizers are rescored by addi- tional scores that measure the correlation of the pitch-accent patterns between the acoustic signal and lexical cues. To test the robustness of our algorithm, we use two different data sets and recognition setups: the first one is En- glish radio news data that has pitch accent la- bels, but the recognizer is trained from a small amountofdataandhashigherrorrate; thesec- ond one is English broadcast news data using a state-of-the-art SRI recognizer. Our experi- mental results demonstrate t...