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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Main Authors: | Samson Juan, Sarah, Besacier, Laurent, Lecouteux, Benjamin, Tien-Ping, Tan |
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格式: | E-Article |
語言: | English |
出版: |
Springer Verlag
2015
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在線閱讀: | http://ir.unimas.my/id/eprint/12098/1/No%2035%20%28abstrak%29.pdf http://ir.unimas.my/id/eprint/12098/ http://www.scopus.com/inward/record.url?eid=2-s2.0-84952362047&partnerID=40&md5=6bc512988afc29cd7ca4af16a836f0b3 |
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