Merging of native and non-native speech for low-resource accented ASR

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Merging of native and non-native speech for low-resource accented ASR

This paper presents our recent study on low-resource automatic speech recognition (ASR) system with accented speech. We propose multi-accent Subspace Gaussian Mixture Models (SGMM) and accent-specific Deep Neural Networks (DNN) for improving non-native ASR performance. In the SGMM framework, we pres...

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Bibliographic Details
Main Authors:	Samson Juan, Sarah, Besacier, Laurent, Lecouteux, Benjamin, Tien-Ping, Tan
Format:	Article
Language:	English
Published:	Springer Verlag 2015
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/12098/ http://ir.unimas.my/id/eprint/12098/1/No%2035%20%28abstrak%29.pdf

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