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Learning American English Accents Using Ensemble Learning with GMMs

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2 Author(s)
Purnell, J.T. ; Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA ; Magdon-Ismail, M.

Accent identification has grown over the past decade. There has been decent success when a priori knowledge about the accents is available. A typical approach entails detection of certain syllables and phonemes, which in turn requires phoneme-based models. Recently, Gaussian Mixture Models (GMMs) have been used as an unsupervised alternative to these phoneme-based models, but they have had limited success unless they used a priori knowledge. We studied extensions of the GMMs using ensemble learning (i. e. bagging and Boosting).

Published in:

Machine Learning and Applications, 2009. ICMLA '09. International Conference on

Date of Conference:

13-15 Dec. 2009