Optimization of Spoken Term Detection System
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Generally speaking, spoken term detection system will degrade significantly because of mismatch between acoustic model and spontaneous speech.
This paper presents an improved spoken term detection strategy, which integrated with a novel phoneme confusion matrix and an improved word-level minimum classification error (MCE) training method.
The first technique is presented to improve spoken term detection rate while the second one is adopted to reject false accepts.
On mandarin conversational telephone speech (CTS), the proposed methods reduce the equal error rate (EER) by 8.4% in relative.
American Psychological Association (APA)
Wang, Chuanxu& Zhang, Pengyuan. 2012. Optimization of Spoken Term Detection System. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-993368
Modern Language Association (MLA)
Wang, Chuanxu& Zhang, Pengyuan. Optimization of Spoken Term Detection System. Journal of Applied Mathematics No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-993368
American Medical Association (AMA)
Wang, Chuanxu& Zhang, Pengyuan. Optimization of Spoken Term Detection System. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-993368
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993368