Paper: A Method For Open-Vocabulary Speech-Driven Text Retrieval

ACL ID W02-1025
Title A Method For Open-Vocabulary Speech-Driven Text Retrieval
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2002
Authors

While recent retrieval techniques do not limit the number of index terms, out-of- vocabulary (OOV) words are crucial in speech recognition. Aiming at retrieving information with spoken queries, we fill the gap between speech recognition and text retrieval in terms of the vocabulary size. Given a spoken query, we gener- ate a transcription and detect OOV words through speech recognition. We then cor- respond detected OOV words to terms in- dexed in a target collection to complete the transcription, and search the collection for documents relevant to the completed tran- scription. We show the effectiveness of our method by way of experiments.