Chung-Ming Chien

According to our database1, Chung-Ming Chien authored at least 11 papers between 2021 and 2024.

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

Timeline

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Links

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Bibliography

2024
What Do Self-Supervised Speech Models Know About Words?
Trans. Assoc. Comput. Linguistics, 2024

Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning.
CoRR, 2024

AV2WAV: Diffusion-Based Re-Synthesis from Continuous Self-Supervised Features for Audio-Visual Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2024

On the Evaluation of Speech Foundation Models for Spoken Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Toward Joint Language Modeling for Speech Units and Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Few-Shot Spoken Language Understanding Via Joint Speech-Text Models.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Voice Filter: Few-Shot Text-to-Speech Speaker Adaptation Using Voice Conversion as a Post-Processing Module.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Fragmentvc: Any-To-Any Voice Conversion by End-To-End Extracting and Fusing Fine-Grained Voice Fragments with Attention.
Proceedings of the IEEE International Conference on Acoustics, 2021

Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech.
Proceedings of the IEEE International Conference on Acoustics, 2021


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