DocumentCode :
1793454
Title :
Game theoretic approach for automatic speech segmentation and recognition
Author :
Rekha, J. Ujwala ; Chatrapati, K. Shahu ; Babu, A. Vianaya
Author_Institution :
Coll. of Eng., Dept. of Comput. Sci. & Eng., JNTUH, Hyderabad, India
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we propose a game-theoretic approach for automatic speech segmentation and recognition. Speech segmentation and recognition are performed jointly by obtaining a Nash equilibrium solution. The proposed algorithm is tested on TIMIT database and compared against the Viterbi algorithm. Boundaries detected using the proposed algorithm are more accurate than the boundaries detected using the Viterbi algorithm.
Keywords :
Viterbi decoding; game theory; speech processing; speech recognition; Nash equilibrium solution; TIMIT database; Viterbi decoding algorithm; automatic speech segmentation; game theoretic approach; speech recognition; Hidden Markov models; Nash equilibrium; Speech; Speech recognition; Training; Vectors; Viterbi algorithm; Game Theory; Nash Equilibrium; Speech Recognition; Speech Segmentation; Viterbi algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of
Conference_Location :
Eilat
Print_ISBN :
978-1-4799-5987-7
Type :
conf
DOI :
10.1109/EEEI.2014.7005855
Filename :
7005855
Link To Document :
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