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.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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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
The Microsoft System for VoxCeleb Speaker Recognition Challenge 2022.
CoRR, 2022

2021
ResNeXt and Res2Net Structures for Speaker Verification.
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
ResNeXt and Res2Net Structure for Speaker Verification.
CoRR, 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
Adversarial Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2019

Conditional Teacher-student Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

CNN with Phonetic Attention for Text-Independent Speaker Verification.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019


2018
Speaker-Invariant Training via Adversarial Learning.
CoRR, 2018

Speaker Adaptation for End-to-End CTC Models.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Domain and Speaker Adaptation for Cortana Speech Recognition.
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

Extended low-rank plus diagonal adaptation for deep and recurrent neural networks.
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
End-to-End attention based text-dependent speaker verification.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Low-rank plus diagonal adaptation for deep neural networks.
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

Automatic Speech Recognition Based on Non-Uniform Error Criteria.
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

Stranded Gaussian mixture hidden Markov models for robust speech recognition.
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

On noise estimation for robust speech recognition using vector Taylor series.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
A study on recognizing distorted speech over local distributed transducer networks.
Proceedings of the IEEE International Conference on Acoustics, 2009


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