Xurong Xie

According to our database1, Xurong Xie authored at least 34 papers between 2014 and 2022.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2022
Neural Architecture Search for LF-MMI Trained Time Delay Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Confidence Score Based Conformer Speaker Adaptation for Speech Recognition.
CoRR, 2022

Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems.
CoRR, 2022

Exploiting Cross-domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recognition.
CoRR, 2022

On-the-fly Feature Based Speaker Adaptation for Dysarthric and Elderly Speech Recognition.
CoRR, 2022

Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition.
CoRR, 2022

Investigation of Deep Neural Network Acoustic Modelling Approaches for Low Resource Accented Mandarin Speech Recognition.
CoRR, 2022

Exploiting Cross Domain Acoustic-to-Articulatory Inverted Features for Disordered Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Detecting challenge from physiological signals: A primary study with a typical game scenario.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Bayesian Learning for Deep Neural Network Adaptation.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Recent Progress in the CUHK Dysarthric Speech Recognition System.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

RE-RLTuner: A topic-based music generation method.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Adversarial Data Augmentation for Disordered Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Spectro-Temporal Deep Features for Disordered Speech Assessment and Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Bayesian Parametric and Architectural Domain Adaptation of LF-MMI Trained TDNNs for Elderly and Dysarthric Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Development of the Cuhk Elderly Speech Recognition System for Neurocognitive Disorder Detection Using the Dementiabank Corpus.
Proceedings of the IEEE International Conference on Acoustics, 2021

Neural Architecture Search for LF-MMI Trained Time Delay Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Neural Architecture Search for Speech Recognition.
CoRR, 2020

Exploiting Cross-Domain Visual Feature Generation for Disordered Speech Recognition.
Proceedings of the Interspeech 2020, 2020

Investigation of Data Augmentation Techniques for Disordered Speech Recognition.
Proceedings of the Interspeech 2020, 2020

2019
Fast DNN Acoustic Model Speaker Adaptation by Learning Hidden Unit Contribution Features.
Proceedings of the Interspeech 2019, 2019

LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition.
Proceedings of the Interspeech 2019, 2019

BLHUC: Bayesian Learning of Hidden Unit Contributions for Deep Neural Network Speaker Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Bayesian and Gaussian Process Neural Networks for Large Vocabulary Continuous Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Investigation of Stacked Deep Neural Networks and Mixture Density Networks for Acoustic-to-Articulatory Inversion.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Development of the CUHK Dysarthric Speech Recognition System for the UA Speech Corpus.
Proceedings of the Interspeech 2018, 2018

Gaussian Process Neural Networks for Speech Recognition.
Proceedings of the Interspeech 2018, 2018

2017
RNN-LDA Clustering for Feature Based DNN Adaptation.
Proceedings of the Interspeech 2017, 2017

2016
Deep Neural Network Based Acoustic-to-Articulatory Inversion Using Phone Sequence Information.
Proceedings of the Interspeech 2016, 2016

2015
Generalized variable parameter HMMs based acoustic-to-articulatory inversion.
Proceedings of the INTERSPEECH 2015, 2015

Efficient use of DNN bottleneck features in generalized variable parameter HMMs for noise robust speech recognition.
Proceedings of the INTERSPEECH 2015, 2015

2014
Deep neural network bottleneck features for generalized variable parameter HMMs.
Proceedings of the INTERSPEECH 2014, 2014


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