Guoli Ye

According to our database1, Guoli Ye authored at least 18 papers between 2009 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Low Latency End-to-End Streaming Speech Recognition with a Scout Network.
Proceedings of the Interspeech 2020, 2020

Semantic Mask for Transformer Based End-to-End Speech Recognition.
Proceedings of the Interspeech 2020, 2020

Adaptation of RNN Transducer with Text-To-Speech Technology for Keyword Spotting.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Advancing Acoustic-to-Word CTC Model With Attention and Mixed-Units.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Towards Code-switching ASR for End-to-end CTC Models.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Developing Far-Field Speaker System Via Teacher-Student Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Advancing Acoustic-to-Word CTC Model.
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
Acoustic-to-word model without OOV.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 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
Deep Convolutional Neural Networks with Layer-Wise Context Expansion and Attention.
Proceedings of the Interspeech 2016, 2016

Geo-location dependent deep neural network acoustic model for speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2012
Speaker-ensemble hidden Markov modeling for automatic speech recognition.
Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 2012

Transition probabilities are more important than we once thought.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Subspace high-density discrete hidden Markov model for automatic speech recognition.
Proceedings of the 20th European Signal Processing Conference, 2012

2010
Subvector-quantized high-density discrete hidden Markov model and its re-estimation.
Proceedings of the 7th International Symposium on Chinese Spoken Language Processing, 2010

The use of subvector quantization and discrete densities for fast GMM computation for speaker verification.
Proceedings of the INTERSPEECH 2010, 2010

2009
Fast GMM computation for speaker verification using scalar quantization and discrete densities.
Proceedings of the INTERSPEECH 2009, 2009


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