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Recently proposed methods for discriminative language modeling require alternate hypotheses in the form of lattices or N-best lists. These are usually generated by an Automatic Speech Recognition (ASR) system on the same speech data used to train the system. This requirement restricts the scope of these methods to corpora where both the acoustic material and the corresponding true transcripts are...
This paper presents methods to improve retrieval of Out-Of-Vocabulary (OOV) terms in a Spoken Term Detection (STD) system. We demonstrate that automated tagging of OOV regions helps to reduce false alarms while incorporating phonetic confusability increases the hits. Additional features that boost the probability of a hit in accordance with the number of neighboring hits for the same query and query-length...
This paper addresses the problem of using unstructured queries to search a structured database in voice search applications. By incorporating structural information in music metadata, the end-to-end search error has been reduced by 15% on text queries and up to 11% on spoken queries. Based on that, an HMM sequential rescoring model has reduced the error rate by 28% on text queries and up to 23% on...
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