Multi-level adaptive network for accented Mandarin speech recognition

2014 4th IEEE International Conference on Information Science and Technology ◽

10.1109/icist.2014.6920550 ◽

2014 ◽

Cited By ~ 2

Author(s):

Huiyong Wang ◽

Lan Wang ◽

Xunying Liu

Keyword(s):

Speech Recognition ◽

Adaptive Network ◽

Multi Level ◽

Mandarin Speech Recognition

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Integrating multi-level linguistic knowledge with a unified framework for Mandarin speech recognition

10.3115/1613715.1613820 ◽

2008 ◽

Author(s):

Xinhao Wang ◽

Jiazhong Nie ◽

Dingsheng Luo ◽

Xihong Wu

Keyword(s):

Speech Recognition ◽

Linguistic Knowledge ◽

Unified Framework ◽

Multi Level ◽

Mandarin Speech Recognition

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Measuring Mandarin Speech Recognition Thresholds Using the Method of Adaptive Tracking

Journal of Speech Language and Hearing Research ◽

10.1044/2019_jslhr-h-18-0162 ◽

2019 ◽

Vol 62 (6) ◽

pp. 2009-2017

Author(s):

Yuxia Wang ◽

Zhaoyu Lu ◽

Xiaohu Yang ◽

Chang Liu

Keyword(s):

Speech Recognition ◽

Adaptive Tracking ◽

Mandarin Speech Recognition

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Acoustic models adaptation in large vocabulary continuous mandarin speech recognition for non-native speakers

Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004. ◽

10.1109/icosp.2004.1452756 ◽

2005 ◽

Author(s):

Jian Yang ◽

Yuanyuan Pu ◽

Hong Wei ◽

Zhengpeng Zhao

Keyword(s):

Speech Recognition ◽

Native Speakers ◽

Large Vocabulary ◽

Acoustic Models ◽

Mandarin Speech Recognition

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Mandarin speech recognition using convolution neural network with augmented tone features

The 9th International Symposium on Chinese Spoken Language Processing ◽

10.1109/iscslp.2014.6936674 ◽

2014 ◽

Cited By ~ 4

Author(s):

Xinhui Hu ◽

Xugang Lu ◽

Chiori Hori

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Convolution Neural Network ◽

Mandarin Speech Recognition

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Selective MCE training strategy in Mandarin speech recognition

Proceedings. International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2002.1174423 ◽

2003 ◽

Author(s):

Jian-Min Zha ◽

Xin-Zhong Zhu ◽

Hui-Ying Xu

Keyword(s):

Speech Recognition ◽

Training Strategy ◽

Mandarin Speech Recognition

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Improved large vocabulary Mandarin speech recognition by selectively using tone information with a two-stage prosodic model

10.21437/interspeech.2008-346 ◽

2008 ◽

Author(s):

Li-Wei Cheng ◽

Lin-shan Lee

Keyword(s):

Speech Recognition ◽

Two Stage ◽

Large Vocabulary ◽

Mandarin Speech Recognition

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Restructuring HMM states for speaker adaptation in Mandarin speech recognition

10.21437/interspeech.2004-174 ◽

2004 ◽

Author(s):

Xianghua Xu ◽

Qiang Guo ◽

Jie Zhu

Keyword(s):

Speech Recognition ◽

Mandarin Speech Recognition

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Improving deep neural networks based multi-accent Mandarin speech recognition using i-vectors and accent-specific top layer

10.21437/interspeech.2015-718 ◽

2015 ◽

Author(s):

Mingming Chen ◽

Zhanlei Yang ◽

Jizhong Liang ◽

Yanpeng Li ◽

Wenju Liu

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Deep Neural Networks ◽

Mandarin Speech Recognition

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Attribute-based Mandarin speech recognition using conditional random fields

10.21437/interspeech.2007-511 ◽

2007 ◽

Author(s):

Chi-Yueh Lin ◽

Hsiao-Chuan Wang

Keyword(s):

Speech Recognition ◽

Random Fields ◽

Conditional Random Fields ◽

Mandarin Speech Recognition

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Multi-level region-of-interest CNNs for end to end speech recognition

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-018-1146-z ◽

2018 ◽

Vol 10 (11) ◽

pp. 4615-4624 ◽

Cited By ~ 6

Author(s):

Shubhanshi Singhal ◽

Vishal Passricha ◽

Pooja Sharma ◽

Rajesh Kumar Aggarwal

Keyword(s):

Speech Recognition ◽

Region Of Interest ◽

Multi Level ◽

End To End

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