A review of speech-centric trustworthy machine learning: Privacy, safety, and fairness
Tiantian Feng,
Rajat Hebbar*,
Nicholas Mehlman*,
Xuan Shi*,
Aditya Kommineni*,
Shrikanth S. Narayanan
APSIPA Transactions on Signal and Information Processing, 2023.
(* equal contribution)
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CAN KNOWLEDGE OF END-TO-END TEXT-TO-SPEECH MODELS IMPROVE NEURAL
MIDI-TO-AUDIO SYNTHESIS SYSTEMS?
Xuan Shi,
Erica Cooper,
Xin Wang,
Junichi Yamagishi,
Shrikanth S. Narayanan
IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), 2023.
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Creating musical features using multi-faceted, multi-task encoders based on transformers
Timothy Greer,
Xuan Shi,
Benjamin Ma,
Shrikanth S. Narayanan
Scientific reports, Nature Publishing Group, 2023.
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Use of Speaker Recognition Approaches for Learning and Evaluating Embedding Representations of Musical Instrument Sounds
Xuan Shi,
Erica Cooper,
Junichi Yamagishi
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022. (Impact Factor: 3.919)
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End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking
Xingjian Du,
Mengyao Zhu,
Xuan Shi,
Xinpeng Zhang,
Wen Zhang,
Jingdong Chen
CoRR, abs/1901.00295
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End-to-End Residual CNN with L-GM Loss Speaker Verification System
Xuan Shi,
Xingjian Du,
Mengyao Zhu
IEEE International Conference on Digital Signal Processing (DSP), 2018.
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Detecting Poisoning Attacks against Speech Datasets using Variational Autoencoders
Nicholas Mehlman,
Xuan Shi,
Aditya Kommineni,
Shrikanth S. Narayanan
3rd Symposium on Security and Privacy in Speech Communication, INTERSPEECH 2023
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Unlocking Foundation Models for Privacy-Enhancing Speech
Understanding: An Early Study on Low Resource Speech Training
Leveraging Label-guided Synthetic Speech Content
Tiantian Feng,
Digbalay Bose,
Xuan Shi,
Shrikanth S. Narayanan
3rd Symposium on Security and Privacy in Speech Communication, INTERSPEECH 2023
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Speaker Recognition Adapted for Musical Instruments
Xuan Shi,
Erica Cooper,
Junichi Yamagishi
The Young Female Researchers in Speech Workshop (YFRSW), INTERSPEECH 2021
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RepGN:Object Detection with Relational Proposal Graph Network
Xingjian Du*,
Xuan Shi*,
Risheng Huang
NeurIPS workshop: New In ML, 2019
(* equal contribution)
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Experience
- Research Intern, NII Yamagishi Lab, Spring 2021 - Present
- Research Intern, ByteDance AI-Lab, Summer 2020 - Winter 2020
- Undergraduate Research Assistant, Institute of Automation, Chineses Acadamy of Sciences, Winter 2018 - Fall 2019
- Research Intern, Tencent YouTu Lab, Fall 2018 - Summer 2019
- Research Assistant, Shanghai University, Spring 2018 - Fall 2018
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Last update: Oct. 2023      Template
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