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Deep neural network acoustic modeling for native and non-native Mandarin speech recognition
The 9th International Symposium on Chinese Spoken Language Processing
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10.1109/iscslp.2014.6936617
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2014
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Cited By ~ 6
Author(s):
Xin Chen
◽
Jian Cheng
Keyword(s):
Neural Network
◽
Speech Recognition
◽
Deep Neural Network
◽
Acoustic Modeling
◽
Mandarin Speech Recognition
Download Full-text
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References
Efficient Acoustic Modeling Method for Unsupervised Speech Recognition using Multi-Task Deep Neural Network
Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
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10.2991/nceece-15.2016.72
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2016
◽
Cited By ~ 1
Author(s):
Haitao Yao
◽
Maobo An
◽
Ji Xu
◽
Jian Liu
Keyword(s):
Neural Network
◽
Speech Recognition
◽
Deep Neural Network
◽
Modeling Method
◽
Acoustic Modeling
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Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition
10.21437/interspeech.2019-2641
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2019
◽
Author(s):
Khoi-Nguyen C. Mac
◽
Xiaodong Cui
◽
Wei Zhang
◽
Michael Picheny
Keyword(s):
Neural Network
◽
Speech Recognition
◽
Automatic Speech Recognition
◽
Large Scale
◽
Deep Neural Network
◽
Acoustic Modeling
Download Full-text
Speech recognition system based on deep neural network acoustic modeling for low resourced language-Amharic
Proceedings of the 3rd International Conference on Telecommunications and Communication Engineering
◽
10.1145/3369555.3369564
◽
2019
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Author(s):
Eshete Derb Emiru
◽
Yaxing Li
◽
Shengwu Xiong
◽
Awet Fesseha
Keyword(s):
Neural Network
◽
Speech Recognition
◽
Deep Neural Network
◽
Recognition System
◽
Acoustic Modeling
◽
Speech Recognition System
Download Full-text
Mandarin speech recognition using convolution neural network with augmented tone features
The 9th International Symposium on Chinese Spoken Language Processing
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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
Download Full-text
A initial attempt on task-specific adaptation for deep neural network-based large vocabulary continuous speech recognition
10.21437/interspeech.2012-9
◽
2012
◽
Author(s):
Yeming Xiao
◽
Zhen Zhang
◽
Shang Cai
◽
Jielin Pan
◽
Yonghong Yan
Keyword(s):
Neural Network
◽
Speech Recognition
◽
Deep Neural Network
◽
Continuous Speech
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Continuous Speech Recognition
◽
Initial Attempt
◽
Specific Adaptation
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Large Vocabulary
Download Full-text
Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program
10.21437/interspeech.2014-477
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2014
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Author(s):
Xiaodong Cui
◽
Brian Kingsbury
◽
Jia Cui
◽
Bhuvana Ramabhadran
◽
Andrew Rosenberg
◽
...
Keyword(s):
Neural Network
◽
Deep Neural Network
◽
Acoustic Modeling
Download Full-text
Deep neural network based wake-up-word speech recognition with two-stage detection
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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10.1109/icassp.2017.7952659
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2017
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Cited By ~ 3
Author(s):
Fengpei Ge
◽
Yonghong Yan
Keyword(s):
Neural Network
◽
Speech Recognition
◽
Deep Neural Network
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Two Stage
Download Full-text
A study on deep neural network acoustic model adaptation for robust far-field speech recognition
10.21437/interspeech.2015-525
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2015
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Author(s):
Seyedmahdad Mirsamadi
◽
John H. L. Hansen
Keyword(s):
Neural Network
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Speech Recognition
◽
Deep Neural Network
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Far Field
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Acoustic Model
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Model Adaptation
Download Full-text
A Time Delay Neural Network Acoustic Modeling for Hindi Speech Recognition
Advances in Data and Information Sciences - Lecture Notes in Networks and Systems
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10.1007/978-981-15-0694-9_40
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2020
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pp. 425-432
Author(s):
Ankit Kumar
◽
R. K. Aggarwal
Keyword(s):
Neural Network
◽
Speech Recognition
◽
Time Delay
◽
Acoustic Modeling
Download Full-text
Donggan speech recognition based on deep neural network
2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
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10.1109/itaic.2019.8785451
◽
2019
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Author(s):
Haiyan Xu
◽
Hongwu Yang
◽
Yuren You
Keyword(s):
Neural Network
◽
Speech Recognition
◽
Deep Neural Network
Download Full-text
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