Adaptation of deep neural network acoustic models using factorised i-vectors

Mapping Intimacies ◽

10.21437/interspeech.2014-488 ◽

2014 ◽

Author(s):

Penny Karanasou ◽

Yongqiang Wang ◽

Mark J. F. Gales ◽

Philip C. Woodland

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Acoustic Models

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Noise Robust Automatic Scoring Based on Deep Neural Network Acoustic Models with Lattice-Free MMI and Factorized Adaptation

Mobile Networks and Applications ◽

10.1007/s11036-021-01878-3 ◽

2021 ◽

Author(s):

Dean Luo ◽

Linzhong Xia ◽

Mingxiang Guan

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Acoustic Models ◽

Noise Robust ◽

Automatic Scoring

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Semi-supervised maximum mutual information training of deep neural network acoustic models

10.21437/interspeech.2015-561 ◽

2015 ◽

Author(s):

Vimal Manohar ◽

Daniel Povey ◽

Sanjeev Khudanpur

Keyword(s):

Neural Network ◽

Mutual Information ◽

Deep Neural Network ◽

Acoustic Models ◽

Maximum Mutual Information

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Scalable minimum Bayes risk training of deep neural network acoustic models using distributed hessian-free optimization

10.21437/interspeech.2012-3 ◽

2012 ◽

Cited By ~ 1

Author(s):

Brian Kingsbury ◽

Tara N. Sainath ◽

Hagen Soltau

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Bayes Risk ◽

Acoustic Models ◽

Minimum Bayes Risk

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Improving deep neural network acoustic models using generalized maxout networks

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2014.6853589 ◽

2014 ◽

Cited By ~ 109

Author(s):

Xiaohui Zhang ◽

Jan Trmal ◽

Daniel Povey ◽

Sanjeev Khudanpur

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Acoustic Models

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Speaker Adaptive Training of Deep Neural Network Acoustic Models Using I-Vectors

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2015.2457612 ◽

2015 ◽

Vol 23 (11) ◽

pp. 1938-1949 ◽

Cited By ~ 44

Author(s):

Yajie Miao ◽

Hao Zhang ◽

Florian Metze

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Adaptive Training ◽

Acoustic Models

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Discriminatively trained joint speaker and environment representations for adaptation of deep neural network acoustic models

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7472642 ◽

2016 ◽

Cited By ~ 2

Author(s):

Maofan Yin ◽

Sunil Sivadas ◽

Kai Yu ◽

Bin Ma

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Acoustic Models

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Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models

Speech and Computer - Lecture Notes in Computer Science ◽

10.1007/978-3-319-43958-7_36 ◽

2016 ◽

pp. 304-311 ◽

Cited By ~ 3

Author(s):

Natalia Tomashenko ◽

Yuri Khokhlov ◽

Anthony Larcher ◽

Yannick Estève

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Acoustic Models

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Cluster-based senone selection for the efficient calculation of deep neural network acoustic models

2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP) ◽

10.1109/iscslp.2016.7918399 ◽

2016 ◽

Author(s):

Jun-Hua Liu ◽

Zhen-Hua Ling ◽

Si Wei ◽

Guo-Ping Hu ◽

Li-Rong Dai

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Acoustic Models ◽

Efficient Calculation ◽

Selection For

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Ensemble of jointly trained deep neural network-based acoustic models for reverberant speech recognition

Digital Signal Processing ◽

10.1016/j.dsp.2018.11.005 ◽

2019 ◽

Vol 85 ◽

pp. 1-9 ◽

Cited By ~ 10

Author(s):

Moa Lee ◽

Jeehye Lee ◽

Joon-Hyuk Chang

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Acoustic Models ◽

Reverberant Speech ◽

Reverberant Speech Recognition

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Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies

IEEE Signal Processing Magazine ◽

10.1109/msp.2020.2969859 ◽

2020 ◽

Vol 37 (3) ◽

pp. 39-49

Author(s):

Xiaodong Cui ◽

Wei Zhang ◽

Ulrich Finkler ◽

George Saon ◽

Michael Picheny ◽

...

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Deep Neural Network ◽

Acoustic Models ◽

Distributed Training ◽

Training Strategies

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