Chung-Ming Chien (簡仲明)

Jiaming Lake, Taiwan

July 31, 2022

I am a Ph.D. student at Toyota Technological Institute at Chicago (TTIC), working with Karen Livescu. My research interests cover speech and NLP. Recently, I am particularly interested in the development, analysis, and application of self-supervised representations.

Before joining TTIC, I received my Master’s degree in Computer Science at National Taiwan University (NTU) under the supervision of Lin-shan Lee and Hung-yi Lee in the Speech Processing Lab. I also joined the TTS Research Group of Amazon Alexa in Cambridge, UK, as a science intern in the autumn of 2021.

Aside from being a researcher, I am a sports enthusiasts and an amateur athlete. I captained the baseball varsity team of NTU during my undergraduate years, and I am also broadly interested in tennis, hiking, scuba diving, marathon, swimming, badminton, and training!

news

Dec 15, 2022	My open-source FastSpeech 2 project gets over 1000 stars on Github
Nov 18, 2022	I gave a talk at the TTIC Student Workshop with the topic of Self‐Supervised Pre‐Trained Voice Conversion!
Sep 27, 2022	I joined the Speech and Language Group at TTIC as a Ph.D. student. New life in Chicago!
Jan 22, 2022	Voice Filter was accepted by ICASSP 2022. Thanks my team members from Amazon during my wonderful internship in Cambridge
Jun 30, 2021	I finished my thesis defense and received my Master’s degree from NTU. Thanks my thesis committee and my advisors, Lin-shan Lee and Hung-yi Lee!

selected publications

ICASSP 2021

Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech

Chung-Ming Chien, Jheng-Hao Lin, Chien-yu Huang, and 2 more authors

In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Jun 2021

arXiv Bib Code Poster Slides

@inproceedings{chien2021investigating,
  author = {Chien, Chung-Ming and Lin, Jheng-Hao and Huang, Chien-yu and Hsu, Po-chun and Lee, Hung-yi},
  booktitle = {ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech},
  year = {2021},
  volume = {},
  number = {},
  pages = {8588-8592},
  doi = {10.1109/ICASSP39728.2021.9413880},
  month = jun,
  eprint = {2103.04088},
  archiveprefix = {arXiv},
  primaryclass = {eess.AS},
}

ICASSP 2021

FragmentVC: Any-To-Any Voice Conversion by End-To-End Extracting and Fusing Fine-Grained Voice Fragments with Attention

Chung-Ming Chien*, Yist Y. Lin*, Jheng-Hao Lin, and 2 more authors

*equal contribution

In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Jun 2021

arXiv Bib Code Poster Slides

@inproceedings{chien2020fragmentvc,
  author = {Chien*, Chung-Ming and Lin*, Yist Y. and Lin, Jheng-Hao and Lee, Hung-yi and Lee, Lin-shan},
  booktitle = {ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {FragmentVC: Any-To-Any Voice Conversion by End-To-End Extracting and Fusing Fine-Grained Voice Fragments with Attention},
  year = {2021},
  volume = {},
  number = {},
  pages = {5939-5943},
  doi = {10.1109/ICASSP39728.2021.9413699},
  month = jun,
  eprint = {2010.14150},
  archiveprefix = {arXiv},
  primaryclass = {eess.AS},
}

SLT 2021

Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis

Chung-Ming Chien, and Hung-yi Lee

In 2021 IEEE Spoken Language Technology Workshop (SLT) Jan 2021

arXiv Bib Slides

@inproceedings{chien2020hierarchical,
  author = {Chien, Chung-Ming and Lee, Hung-yi},
  booktitle = {2021 IEEE Spoken Language Technology Workshop (SLT)},
  title = {Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis},
  year = {2021},
  volume = {},
  number = {},
  pages = {446-453},
  doi = {10.1109/SLT48900.2021.9383629},
  month = jan,
  eprint = {2011.06465},
  archiveprefix = {arXiv},
  primaryclass = {eess.AS},
  
    
  
  
    
  
}