DocumentCode :
3738454
Title :
A novel approach for spoken term detection in Vietnamese
Author :
Nguyen Hong Quang;Trinh Van Loan;Le Xuan Thanh
Author_Institution :
Sch. of Inf. &
fYear :
2015
Firstpage :
68
Lastpage :
72
Abstract :
In this paper, we describe our results on spoken term detection (STD) for Vietnamese speech. A method for constructing the indexing module and the searching module for Vietnamese speech is presented. A new method for identifying detection threshold is also described. The experiments were carried out with different thresholds: normalized acoustic probability and posterior probability. For our results, optimal Actual Term-Weighted Value (ATWV) is 0.5982 (the probability of false alarm is 0.48% and the probability of miss detection is 20.85%), corresponding with the test using normalized posterior probability as detection threshold.
Keywords :
"Acoustics","Speech","Hidden Markov models","Speech recognition","Lattices","Metadata","Indexing"
Publisher :
ieee
Conference_Titel :
Communications, Management and Telecommunications (ComManTel), 2015 International Conference on
Type :
conf
DOI :
10.1109/ComManTel.2015.7394262
Filename :
7394262
Link To Document :
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