Author pages are created from data sourced from our academic publisher partnerships and public sources.
- Publications
- Influence
Share This Author
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- Geoffrey E. Hinton, L. Deng, Brian Kingsbury
- Computer ScienceIEEE Signal Processing Magazine
- 18 October 2012
TLDR
Deep Neural Networks for Acoustic Modeling in Speech Recognition
- Geoffrey E. Hinton, L. Deng, Brian Kingsbury
- Computer Science
- 1 November 2012
TLDR
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
- George E. Dahl, Dong Yu, L. Deng, A. Acero
- Computer ScienceIEEE Transactions on Audio, Speech, and Language…
- 1 January 2012
TLDR
Deep Learning: Methods and Applications
TLDR
Permutation invariant training of deep models for speaker-independent multi-talker speech separation
- Dong Yu, Morten Kolbæk, Z. Tan, J. Jensen
- Computer ScienceIEEE International Conference on Acoustics…
- 1 July 2016
TLDR
1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs
TLDR
Convolutional Neural Networks for Speech Recognition
- Ossama Abdel-Hamid, Abdel-rahman Mohamed, Hui Jiang, L. Deng, Gerald Penn, Dong Yu
- Computer ScienceIEEE/ACM Transactions on Audio, Speech, and…
- 1 October 2014
TLDR
Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks
- Morten Kolbaek, Dong Yu, Z. Tan, J. Jensen
- Computer ScienceIEEE/ACM Transactions on Audio, Speech, and…
- 1 October 2017
In this paper, we propose the utterance-level permutation invariant training (uPIT) technique. uPIT is a practically applicable, end-to-end, deep-learning-based solution for speaker independent…
Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription
- F. Seide, Gang Li, Xie Chen, Dong Yu
- Computer ScienceIEEE Workshop on Automatic Speech Recognition…
- 1 December 2011
TLDR
Conversational Speech Transcription Using Context-Dependent Deep Neural Networks
Context-Dependent Deep-Neural-Network HMMs, or CD-DNN-HMMs, combine the classic artificial-neural-network HMMs with traditional context-dependent acoustic modeling and deep-belief-network…
...
1
2
3
4
5
...