Phonetic query expansion for spoken document retrieval

Jonathan Mamou; Bhuvana Ramabhadran

doi:10.21437/interspeech.2008-546

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Phonetic query expansion for spoken document retrieval

Jonathan Mamou Bhuvana Ramabhadran

Year: 2008 Pages: 2106-2109

DOI: 10.21437/interspeech.2008-546

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Abstract

We are interested in retrieving information from speech data using phonetic search. We show improvement by expanding the query phonetically using a joint maximum entropy N-gram model. The value of this approach is demonstrated on Broadcast News data from NIST 2006 Spoken Term Detection evaluation.

Keywords:

Computer science NIST Query expansion Information retrieval Document retrieval Speech recognition Natural language processing Principle of maximum entropy Spoken language Artificial intelligence

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Topics

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Phonetic query expansion for spoken document retrieval

Abstract

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