@inproceedings{song2009voice,
author = {Song, Young-In and Wang, Ye-Yi and Ju, Y. C. and Seltzer, Mike and Tashev, Ivan and Acero, Alex},
title = {Voice Search of Structured Media Data},
booktitle = {International Conference on Acoustics, Speech and Signal Processing},
year = {2009},
month = {April},
abstract = {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 spoken queries compared to the baseline system. Furthermore, a phonetic similarity model has been introduced to compensate speech recognition errors, which has improved the end-to-end search accuracy consistently across different levels of speech recognition accuracy.},
publisher = {Institute of Electrical and Electornic Engineers, Inc.},
url = {http://approjects.co.za/?big=en-us/research/publication/voice-search-of-structured-media-data/},
edition = {International Conference on Acoustics, Speech and Signal Processing},
}