Abstract:
This paper presents a procedure to efficiently create and tune context free grammars for directed dialog speech applications using only spoken test user utterances. We pr...Show MoreMetadata
Abstract:
This paper presents a procedure to efficiently create and tune context free grammars for directed dialog speech applications using only spoken test user utterances. We present a procedure to transcribe utterances with improved accuracy by post-processing the ASR n-best lists with higher level knowledge sources and additional information from the application prompt. We then present a semantic categorizer for the transcriptions, a statistical filtering mechanism for modifying the grammars and, a mechanism to raise an alarm condition in case of large in-flow of errors. We also illustrate the importance of additional improvements gained by using the semantic classification strength in a feedback loop to the transcription mechanism
Published in: 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
Date of Conference: 14-19 May 2006
Date Added to IEEE Xplore: 24 July 2006
Print ISBN:1-4244-0469-X