Adversarial Teacher-Student Learning for Unsupervised Domain Adaptation
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Biing-Hwang Juang | Yifan Gong | Jinyu Li | Zhong Meng | B. Juang | Jinyu Li | Y. Gong | Zhong Meng
[1] Yifan Gong,et al. Robust automatic speech recognition : a bridge to practical application , 2015 .
[2] Khe Chai Sim,et al. Factorized Hidden Layer Adaptation for Deep Neural Network Based Acoustic Modeling , 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[3] Yifan Gong,et al. Unsupervised adaptation with domain separation networks for robust speech recognition , 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[4] George Saon,et al. Speaker adaptation of neural network acoustic models using i-vectors , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[5] Pietro Laface,et al. Linear hidden transformations for adaptation of hybrid ANN/HMM models , 2007, Speech Commun..
[6] Hank Liao,et al. Speaker adaptation of context dependent deep neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[7] Yifan Gong,et al. Restructuring of deep neural network acoustic models with singular value decomposition , 2013, INTERSPEECH.
[8] Dong Yu,et al. Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription , 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.
[9] Tara N. Sainath,et al. Making Deep Belief Networks effective for large vocabulary continuous speech recognition , 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.
[10] Yifan Gong,et al. Investigating online low-footprint speaker adaptation using generalized linear regression and click-through data , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] Yusuke Shinohara,et al. Adversarial Multi-Task Learning of Deep Neural Networks for Robust Speech Recognition , 2016, INTERSPEECH.
[12] I-Fan Chen,et al. Maximum a posteriori adaptation of network parameters in deep models , 2015, INTERSPEECH.
[13] Jonathan Le Roux,et al. Multi-Channel Speech Recognition : LSTMs All the Way Through , 2016 .
[14] Steve Renals,et al. Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation , 2016, IEEE ACM Trans. Audio Speech Lang. Process..
[15] Bhuvana Ramabhadran,et al. Invariant Representations for Noisy Speech Recognition , 2016, ArXiv.
[16] Andrew W. Senior,et al. Long short-term memory recurrent neural network architectures for large scale acoustic modeling , 2014, INTERSPEECH.
[17] Ji Wu,et al. Rapid adaptation for deep neural networks through multi-task learning , 2015, INTERSPEECH.
[18] Geoffrey Zweig,et al. Recent advances in deep learning for speech research at Microsoft , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[19] Dong Yu,et al. Recent progresses in deep learning based acoustic models , 2017, IEEE/CAA Journal of Automatica Sinica.
[20] Yifan Gong,et al. Large-Scale Domain Adaptation via Teacher-Student Learning , 2017, INTERSPEECH.
[21] George Trigeorgis,et al. Domain Separation Networks , 2016, NIPS.
[22] Yanning Zhang,et al. An unsupervised deep domain adaptation approach for robust speech recognition , 2017, Neurocomputing.
[23] Dong Yu,et al. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[24] Li-Rong Dai,et al. Fast Adaptation of Deep Neural Network Based on Discriminant Codes for Speech Recognition , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[25] Navdeep Jaitly,et al. Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition , 2012, INTERSPEECH.
[26] Yifan Gong,et al. Singular value decomposition based low-footprint speaker adaptation and personalization for deep neural network , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[27] Yifan Gong,et al. An Overview of Noise-Robust Automatic Speech Recognition , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[28] Xiong Xiao,et al. Developing Far-Field Speaker System Via Teacher-Student Learning , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[29] Yifan Gong,et al. Extended low-rank plus diagonal adaptation for deep and recurrent neural networks , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[30] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[31] Yifan Gong,et al. Learning small-size DNN with output-distribution-based criteria , 2014, INTERSPEECH.
[32] John R. Hershey,et al. Deep long short-term memory adaptive beamforming networks for multichannel robust speech recognition , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[33] Jon Barker,et al. The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines , 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).
[34] Dong Yu,et al. Conversational Speech Transcription Using Context-Dependent Deep Neural Networks , 2012, ICML.
[35] Yifan Gong,et al. Low-rank plus diagonal adaptation for deep neural networks , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[36] Victor S. Lempitsky,et al. Unsupervised Domain Adaptation by Backpropagation , 2014, ICML.
[37] Biing-Hwang Juang,et al. Speaker-Invariant Training Via Adversarial Learning , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[38] Kaisheng Yao,et al. KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[39] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.