Towards speech as a knowledge resource
Proceedings of the tenth international conference on Information and knowledge management
WASABI: Framework for Real-Time Speech Analysis Applications (Demo)
Information Retrieval Techniques for Speech Applications [this book is based on the workshop “Information Retrieval Techniques for Speech Applications”, held as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in New Orleans, USA, in September 2001].
Extracting Keyphrases from Spoken Audio Documents
Information Retrieval Techniques for Speech Applications [this book is based on the workshop “Information Retrieval Techniques for Speech Applications”, held as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in New Orleans, USA, in September 2001].
Toward speech as a knowledge resource
IBM Systems Journal
Spoken Content Retrieval: A Survey of Techniques and Technologies
Foundations and Trends in Information Retrieval
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We address the problem of finding collateral information pertinent to a live television broadcast in real time. The solution starts with a text transcript of the broadcast generated by an automatic speech recognition system. Speaker independent speech recognition technology, even when tailored for a broadcast scenario, generally produces transcripts with relatively low accuracy. Given this limitation, we have developed algorithms that can determine the essence of the broadcast from these transcripts. Specifically, we extract named entities, topics, and sentence types from the transcript and use them to automatically generate both structured and unstructured search queries. A novel distance-ranking algorithm is used to select relevant information from the search results. The whole process is performed on-line and the query results (i.e., the collateral information) are added to the broadcast stream.