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TASLP
2002

A system for spoken query information retrieval on mobile devices

8 years 11 months ago
A system for spoken query information retrieval on mobile devices
Abstract--With the proliferation of handheld devices, information access on mobile devices is a topic of growing relevance. This paper presents a system that allows the user to search for information on mobile devices using spoken natural-language queries. We explore several issues related to the creation of this system, which combines state-of-the-art speech-recognition and information-retrieval technologies. This is the first work that we are aware of which evaluates spoken query based information retrieval on a commonly available and well researched text database, the Chinese news corpus used in National Institute of Standards and Technology (NIST)'s TREC-5 and TREC-6 benchmarks. To compare spoken-query retrieval performance for different relevant scenarios and recognition accuracies, the benchmark queries--read verbatim by 20 speakers--were recorded simultaneously through three channels: headset microphone, PDA microphone, and cellular phone. Our results show that for mobile d...
E. Chang, Frank Seide, Helen M. Meng, Zhuoran Chen
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where TASLP
Authors E. Chang, Frank Seide, Helen M. Meng, Zhuoran Chen, Yu Shi, Yuk-Chi Li
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