Confidence Measure Based on Context Consistency Using Word Occurrence Probability and Topic Adaptation for Spoken Term Detection-Reference-Cited by-同舟云学术

Confidence Measure Based on Context Consistency Using Word Occurrence Probability and Topic Adaptation for Spoken Term Detection

Published:2014 Issue:3 Volume:E97.D Page:554-561
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LI Haiyang¹,ZHENG Tieran¹,ZHENG Guibin¹,HAN Jiqing¹

Affiliation:

1. School of Computer Science and Technology, Harbin Institute of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E97.D/3/E97.D_554/_pdf

Reference32 articles.

1. [1] National Institute of Standards and Technology (NIST), “The spoken term detection (STD) 2006 evaluation plan,” 2006. [Online]. Available: http://www.nist.gov/speech/tests/std

2. [2] S. Cox and S. Dasmahapatra, “High-level approaches to confidence estimation in speech recognition,” IEEE Trans. Speech Audio Process., vol.10, no.7, pp.406-417, 2002.

3. [3] G. Guo, C. Huang, H. Jiang, and R.H. Wang, “A comparative study on various confidence measures in large vocabulary speech recognition,” Proc. ICASSP, 2004, pp.9-12, 2004.

4. [4] D. Schneider, T. Mertens, M. Larson, and J. Kohler, “Contextual verification for open vocabulary spoken Term Detection,” Proc. Interspeech, 2010, pp.697-700, 2010.

5. [5] H.Y. Lee, T.W. Tu, C.P. Chen, C.Y. Huang, and L.S. Lee, “Improved spoken term detection using support vector machines based on lattice context consistency,” Proc. ICASSP, 2011, pp.5648-5651, 2011.

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