Zhao You

According to our database1, Zhao You authored at least 15 papers between 2013 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation.
CoRR, 2023

2022
3M: Multi-loss, Multi-path and Multi-level Neural Networks for speech recognition.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022

Speechmoe2: Mixture-of-Experts Model with Improved Routing.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
SpeechMoE2: Mixture-of-Experts Model with Improved Routing.
CoRR, 2021

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10, 000 Hours of Transcribed Audio.
CoRR, 2021

SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10, 000 Hours of Transcribed Audio.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
Dfsmn-San with Persistent Memory Model for Automatic Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Teach an All-rounder with Experts in Different Domains.
Proceedings of the IEEE International Conference on Acoustics, 2019

2014
Investigation of stochastic Hessian-Free optimization in Deep neural networks for speech recognition.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014

Improving training time of deep neural networkwith asynchronous averaged stochastic gradient descent.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014

Improving wideband acoustic models using mixed-bandwidth training data via DNN adaptation.
Proceedings of the INTERSPEECH 2014, 2014

Exploring one pass learning for deep neural network training with averaged stochastic gradient descent.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Asynchronous stochastic gradient descent for DNN training.
Proceedings of the IEEE International Conference on Acoustics, 2013

Investigation of deep Boltzmann machines for phone recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013


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