Multi-Accent Adaptation Based on Gate Mechanism
暂无分享,去创建一个
Yonghong Yan | Pengyuan Zhang | Li Wang | Han Zhu | Yonghong Yan | Pengyuan Zhang | Hanlin Zhu | Li Wang
[1] Yi Su,et al. Accent detection and speech recognition for Shanghai-accented Mandarin , 2005, INTERSPEECH.
[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] Tara N. Sainath,et al. Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition , 2018, INTERSPEECH.
[4] Khe Chai Sim,et al. Comparison of discriminative input and output transformations for speaker adaptation in the hybrid NN/HMM systems , 2010, INTERSPEECH.
[5] Suyoun Kim,et al. Towards Language-Universal End-to-End Speech Recognition , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[6] Sanjeev Khudanpur,et al. Investigation of transfer learning for ASR using LF-MMI trained neural networks , 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[7] Philip C. Woodland,et al. Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models , 1995, Comput. Speech Lang..
[8] Hank Liao,et al. Speaker adaptation of context dependent deep neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[9] Mark J. F. Gales,et al. Maximum likelihood linear transformations for HMM-based speech recognition , 1998, Comput. Speech Lang..
[10] Steve Renals,et al. Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models , 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).
[11] Tara N. Sainath,et al. Deep Neural Networks for Acoustic Modeling in Speech Recognition , 2012 .
[12] Yifan Gong,et al. Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[13] Hui Jiang,et al. Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[14] Jianping Li,et al. Improving Large Vocabulary Accented Mandarin Speech Recognition with Attribute-Based I-Vectors , 2016, INTERSPEECH.
[15] Hermann Ney,et al. Comparison of BLSTM-Layer-Specific Affine Transformations for Speaker Adaptation , 2018, INTERSPEECH.
[16] Pietro Laface,et al. Adaptation of Hybrid ANN/HMM Models Using Linear Hidden Transformations and Conservative Training , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[17] Tao Chen,et al. Accent Issues in Large Vocabulary Continuous Speech Recognition , 2004, Int. J. Speech Technol..
[18] Daniel Povey,et al. The Kaldi Speech Recognition Toolkit , 2011 .
[19] 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.
[20] Kai Yu,et al. Cluster adaptive training for deep neural network , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[21] Preethi Jyothi,et al. Improved Accented Speech Recognition Using Accent Embeddings and Multi-task Learning , 2018, INTERSPEECH.
[22] Yifan Gong,et al. Multi-accent deep neural network acoustic model with accent-specific top layer using the KLD-regularized model adaptation , 2014, INTERSPEECH.