George Saon, Mukund Padmanabhan
IEEE Transactions on Speech and Audio Processing
This paper exploits the fact that when GMM and SVM classifiers with roughly the same level of performance exhibit uncorrelated errors they can be combined to produce a better classifier. The gain accrues from combining the descriptive strength of GMM models with the discriminative power of SVM classifiers. This idea, first exploited in the context of speaker recognition [1, 2], is applied to speech recognition - specifically to a digit recognition task in a noisy environment - with significant gains in performance.
George Saon, Mukund Padmanabhan
IEEE Transactions on Speech and Audio Processing
George Saon, Mukund Padmanabhan, et al.
ICASSP 2000
Zoltan Tuske, George Saon, et al.
INTERSPEECH 2021
Jia Cui, George Saon, et al.
INTERSPEECH 2015