Yong Zhao
Affiliations:- Microsoft Corporation, Redmond, WA, USA
- Georgia Institute of Technology, Atlanta, GA, USA (former)
According to our database1,
Yong Zhao
authored at least 32 papers
between 2009 and 2023.
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Bibliography
2023
Improving Transformer-Based Networks with Locality for Automatic Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
2021
Proceedings of the IEEE Spoken Language Technology Workshop, 2021
Microsoft Speaker Diarization System for the Voxceleb Speaker Recognition Challenge 2020.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Improving Deep CNN Networks with Long Temporal Context for Text-Independent Speaker Verification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2018
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Exploring Sequential Characteristics in Speaker Bottleneck Feature for Text-Dependent Speaker Verification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
A comparative study of noise estimation algorithms for nonlinear compensation in robust speech recognition.
Speech Commun., 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Challenges in and Solutions to Deep Learning Network Acoustic Modeling in Speech Recognition Products at Microsoft.
Proceedings of the New Era for Robust Speech Recognition, Exploiting Deep Learning., 2017
2016
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Confidence-features and confidence-scores for ASR applications in arbitration and DNN speaker adaptation.
Proceedings of the INTERSPEECH 2015, 2015
Investigating online low-footprint speaker adaptation using generalized linear regression and click-through data.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2013
Nonlinear compensation and heterogeneous data modeling for robust speech recognition.
PhD thesis, 2013
Modeling heterogeneous data sources for speech recognition using synchronous hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Nonlinear Compensation Using the Gauss-Newton Method for Noise-Robust Speech Recognition.
IEEE Trans. Speech Audio Process., 2012
IEEE Trans. Speech Audio Process., 2012
A general discriminative training algorithm for speech recognition using weighted finite-state transducers.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Exploiting sparsity in stranded hidden Markov models for automatic speech recognition.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2011
Non-linear noise compensation for robust speech recognition using Gauss-Newton method.
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
A comparative study of noise estimation algorithms for VTS-based robust speech recognition.
Proceedings of the INTERSPEECH 2010, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Proceedings of the IEEE International Conference on Acoustics, 2009