Spoken Term Detection Using SVM-Based Classifier Trained with Pre-Indexed Keywords-Reference-Cited by-同舟云学术

Spoken Term Detection Using SVM-Based Classifier Trained with Pre-Indexed Keywords

Published:2016 Issue:10 Volume:E99.D Page:2528-2538
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

DOMOTO Kentaro¹,UTSURO Takehito¹,SAWADA Naoki²,NISHIZAKI Hiromitsu²

Affiliation:

1. Graduate School of Systems and Information Engineering, University of Tsukuba

2. Integrated Graduate School of Medicine, Engineering, and Agricultural Sciences, University of Yamanashi

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/E99.D/10/E99.D_2016SLP0017/_pdf

Reference30 articles.

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2. [2] D. Vergyri, I. Shafran, A. Stolcke, R.R. Gadde, M. Akbacak, B. Roark, and W. Wang, “The SRI/OGI 2006 spoken term detection system,” Proc. 8th INTERSPEECH, pp.2393-2396, 2007.

3. [3] S. Meng, J. Shao, R.P. Yu, J. Liu, and F. Seide, “Addressing the out-of-vocabulary problem for large-scale chinese spoken term detection,” Proc. 9th INTERSPEECH, pp.2146-2149, 2008.

4. [4] S. Meng, P. Yu, F. Seide, and J. Liu, “A study of lattice-based spoken term detection for chinese spontaneous speech,” Proc. ASRU, pp.635-640, 2007.

5. [5] M. Akbacak, D. Vergyri, and A. Stolcke, “Open-vocabulary spoken term detection using graphone-based hybrid recognition systems,” Proc. ICASSP, pp.5240-5243, 2014.

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