@article{chang2002a,
author = {Chang, Eric and Seide, Frank and Meng, Helen M. and Chen, Zhuoran and Shi, Yu and Li, Yuk-Chi},
title = {A System for Spoken Query Information Retrieval on Mobile Devices},
year = {2002},
month = {October},
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 devices with high-quality microphones, spoken-query retrieval based on existing technologies yields retrieval precisions that come close to that for perfect text input (mean average precision 0.459 and 0.489, respectively, on TREC-6).},
url = {http://approjects.co.za/?big=en-us/research/publication/a-system-for-spoken-query-information-retrieval-on-mobile-devices/},
pages = {531-541},
journal = {IEEE Transactions on Speech and Audio Processing},
volume = {10},
number = {8},
}