Zhen Huang
Orcid: 0000-0002-1772-7674Affiliations:
- Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
According to our database1,
Zhen Huang
authored at least 30 papers
between 2012 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization.
CoRR, 2023
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
2022
2020
SNDCNN: Self-Normalizing Deep CNNs with Scaled Exponential Linear Units for Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Improving Deep Neural Network Based Speech Synthesis through Contextual Feature Parametrization and Multi-Task Learning.
J. Signal Process. Syst., 2018
2017
PhD thesis, 2017
Bayesian Unsupervised Batch and Online Speaker Adaptation of Activation Function Parameters in Deep Models for Automatic Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2017
Hierarchical Bayesian combination of plug-in maximum a posteriori decoders in deep neural networks-based speech recognition and speaker adaptation.
Pattern Recognit. Lett., 2017
An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2017
A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation.
EURASIP J. Adv. Signal Process., 2017
A transfer learning and progressive stacking approach to reducing deep model sizes with an application to speech enhancement.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
A unified deep modeling approach to simultaneous speech dereverberation and recognition for the reverb challenge.
Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017
2016
A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition.
Neurocomputing, 2016
Learning auxiliary categorical information for speech synthesis based on deep and recurrent neural networks.
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016
2015
Multi-objective learning and mask-based post-processing for deep neural network based speech enhancement.
Proceedings of the INTERSPEECH 2015, 2015
DNN-based speech bandwidth expansion and its application to adding high-frequency missing features for automatic speech recognition of narrowband speech.
Proceedings of the INTERSPEECH 2015, 2015
Proceedings of the INTERSPEECH 2015, 2015
Proceedings of the INTERSPEECH 2015, 2015
2014
Beyond cross-entropy: towards better frame-level objective functions for deep neural network training in automatic speech recognition.
Proceedings of the INTERSPEECH 2014, 2014
Feature space maximum a posteriori linear regression for adaptation of deep neural networks.
Proceedings of the INTERSPEECH 2014, 2014
A maximal figure-of-merit learning approach to maximizing mean average precision with deep neural network based classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013
Proceedings of the INTERSPEECH 2013, 2013
2012
Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012