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ICASSP
2009
IEEE

Generalized Baum-Welch algorithm for discriminative training on large vocabulary continuous speech recognition system

10 years 4 months ago
Generalized Baum-Welch algorithm for discriminative training on large vocabulary continuous speech recognition system
We propose a new optimization algorithm called Generalized Baum Welch (GBW) algorithm for discriminative training on hidden Markov model (HMM). GBW is based on Lagrange relaxation on a transformed optimization problem. We show that both Baum-Welch (BW) algorithm for ML estimate of HMM parameters, and the popular extended Baum-Welch (EBW) algorithm for discriminative training are special cases of GBW. We compare the performance of GBW and EBW for Farsi large vocabulary continuous speech recognition (LVCSR).
Roger Hsiao, Yik-Cheung Tam, Tanja Schultz
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Roger Hsiao, Yik-Cheung Tam, Tanja Schultz
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