Wen-Chin Huang

About Wen-Chin Huang

Wen-Chin Huang, With an exceptional h-index of 20 and a recent h-index of 20 (since 2020), a distinguished researcher at Nagoya University, specializes in the field of Speech Synthesis, Voice Conversion, Deep Learning, Speech Quality Assessment.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Large-Scale Evaluation of Speech Foundation Models

Electrolaryngeal Speech Intelligibility Enhancement through Robust Linguistic Encoders

A review on subjective and objective evaluation of synthetic speech

A Comparative Study of Voice Conversion Models With Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023

The VoiceMOS Challenge 2023: zero-shot subjective speech quality prediction for multiple domains

The singing voice conversion challenge 2023

Evaluating Methods for Ground-Truth-Free Foreign Accent Conversion

AAS-VC: On the Generalization Ability of Automatic Alignment Search based Non-autoregressive Sequence-to-sequence Voice Conversion

Wen-Chin Huang Information

University

Position

___

Citations(all)

1636

Citations(since 2020)

1632

Cited By

213

hIndex(all)

20

hIndex(since 2020)

20

i10Index(all)

25

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Wen-Chin Huang Skills & Research Interests

Speech Synthesis

Voice Conversion

Deep Learning

Speech Quality Assessment

Top articles of Wen-Chin Huang

Electrolaryngeal Speech Intelligibility Enhancement through Robust Linguistic Encoders

2024/4/14

A review on subjective and objective evaluation of synthetic speech

2024

A Comparative Study of Voice Conversion Models With Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023

2023/12/16

Wen-Chin Huang
Wen-Chin Huang

H-Index: 9

Tomoki Toda
Tomoki Toda

H-Index: 34

The VoiceMOS Challenge 2023: zero-shot subjective speech quality prediction for multiple domains

2023/12/16

Wen-Chin Huang
Wen-Chin Huang

H-Index: 9

Tomoki Toda
Tomoki Toda

H-Index: 34

The singing voice conversion challenge 2023

2023/12/16

Evaluating Methods for Ground-Truth-Free Foreign Accent Conversion

2023/10/31

Wen-Chin Huang
Wen-Chin Huang

H-Index: 9

Tomoki Toda
Tomoki Toda

H-Index: 34

AAS-VC: On the Generalization Ability of Automatic Alignment Search based Non-autoregressive Sequence-to-sequence Voice Conversion

arXiv preprint arXiv:2309.07598

2023/9/14

A holistic cascade system, benchmark, and human evaluation protocol for expressive speech-to-speech translation

2023/6/4

Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving Electrolaryngeal Speech Recognition

2023/6/4

Generalization ability of mos prediction networks

2022/5/23

Wen-Chin Huang
Wen-Chin Huang

H-Index: 9

Tomoki Toda
Tomoki Toda

H-Index: 34

Investigating self-supervised pretraining frameworks for pathological speech recognition

arXiv preprint arXiv:2203.15431

2022/3/29

Wen-Chin Huang
Wen-Chin Huang

H-Index: 9

Tomoki Toda
Tomoki Toda

H-Index: 34

The voicemos challenge 2022

arXiv preprint arXiv:2203.11389

2022/3/21

Wen-Chin Huang
Wen-Chin Huang

H-Index: 9

Tomoki Toda
Tomoki Toda

H-Index: 34

SUPERB-SG: Enhanced speech processing universal PERformance benchmark for semantic and generative capabilities

arXiv preprint arXiv:2203.06849

2022/3/14

A comparative study of self-supervised speech representation based voice conversion

CASSP 2023 Satellite Workshop: SASB 2023: Self-Supervision in Audio, Speech and Beyond

2023/8/20

End-to-end binaural speech synthesis

arXiv preprint arXiv:2207.03697

2022/7/8

Ldnet: Unified listener dependent modeling in mos prediction for synthetic speech

2022/5/23

Wen-Chin Huang
Wen-Chin Huang

H-Index: 9

Tomoki Toda
Tomoki Toda

H-Index: 34

Towards identity preserving normal to dysarthric voice conversion

2022/5/23

S3prl-vc: Open-source voice conversion framework with self-supervised speech representations

2022/5/23

Investigation of Text-to-Speech-based Synthetic Parallel Data for Sequence-to-Sequence Non-Parallel Voice Conversion

2021/12/14

See List of Professors in Wen-Chin Huang University(Nagoya University)

Co-Authors

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