Andy T. Liu

Orcid: 0000-0002-2502-3992

According to our database1, Andy T. Liu authored at least 13 papers between 2019 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Parallel Synthesis for Autoregressive Speech Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.
CoRR, 2022

Don't Speak Too Fast: The Impact of Data Bias on Self-Supervised Speech Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

SUPERB: Speech Processing Universal PERformance Benchmark.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Adversarial Defense for Automatic Speaker Verification by Cascaded Self-Supervised Learning Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Understanding Self-Attention of Self-Supervised Audio Transformers.
Proceedings of the Interspeech 2020, 2020

Defense for Black-Box Attacks on Anti-Spoofing Models by Self-Supervised Learning.
Proceedings of the Interspeech 2020, 2020

Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Towards Robust Neural Vocoding for Speech Generation: A Survey.
CoRR, 2019

Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion.
Proceedings of the Interspeech 2019, 2019


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