Dongpeng Chen

According to our database1, Dongpeng Chen authored at least 13 papers between 2012 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multimodal Decoupled Distillation Graph Neural Network for Emotion Recognition in Conversation.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

2022
The CORAL++ Algorithm for Unsupervised Domain Adaptation of Speaker Recogntion.
CoRR, 2022

The Coral++ Algorithm for Unsupervised Domain Adaptation of Speaker Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2020
Voiceai Systems to NIST Sre19 Evaluation: Robust Speaker Recognition on Conversational Telephone Speech.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Essence Knowledge Distillation for Speech Recognition.
CoRR, 2019

2018
Recurrent Neural Networks for Automatic Replay Spoofing Attack Detection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2015
Multitask Learning of Deep Neural Networks for Low-Resource Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Distinct triphone acoustic modeling using deep neural networks.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014
Modeling inter-cluster and intra-cluster discrimination among triphones.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014

Joint sequence training of phone and grapheme acoustic model based on multi-task learning deep neural networks.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Joint acoustic modeling of triphones and trigraphemes by multi-task learning deep neural networks for low-resource speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Distinct triphone modeling by reference model weighting.
Proceedings of the IEEE International Conference on Acoustics, 2013

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


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