Zhao Yi Zhao Yi

Researcher Number	10843162
Affiliation (based on the past Project Information) *help	2019 – 2020: 国立情報学研究所, コンテンツ科学研究系, 特任研究員
Review Section/Research Field	Principal Investigator 1002:Human informatics, applied informatics and related fields
Keywords	Principal Investigator deep learning / Lombard effect / speech perception / F0 encoder / neural vocoder / speaker embedding / emotion enhancement / Adversarial network / Lombard speech / voice conversion / neural networks / emotional enhancement / VQVAE

Research Projects
(1 results)
Research Products
(6 results)

Can we reduce misperceptions of emotional content of speech in the noisy environments?Principal Investigator
- Principal Investigator
  
  Zhao Yi
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  1002:Human informatics, applied informatics and related fields
- Research Institution
  National Institute of Informatics

All 2021 2020 2019

All Journal Article Presentation

[Journal Article] Transferring Neural Speech Waveform Synthesizers to Musical Instrument Sounds Generation2020
- Author(s)
  Yi Zhao ; Xin Wang ; Lauri Juvela ; Junichi Yamagishi
- Journal Title
  
  ICASSP 2020
  
  Volume: - Pages: 6269-6273
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24373
[Journal Article] Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion2020
- Author(s)
  Zhao Yi, Wen-Chin Huang, Xiaohai Tian, Junichi Yamagishi, Rohan Kumar Das, Tomi Kinnunen, Zhen-Hua Ling, Tomoki Toda
- Journal Title
  
  Proc. Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020
  
  Volume: 2020 Pages: 80-98
- DOI
  10.21437/vcc_bc.2020-14
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24373
[Journal Article] Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions2020
- Author(s)
  Rohan Kumar Das, Tomi Kinnunen, Wen-Chin Huang, Zhen-Hua Ling, Junichi Yamagishi, Zhao Yi, Xiaohai Tian, Tomoki Toda
- Journal Title
  
  Proc. Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020
  
  Volume: 2020 Pages: 99-120
- DOI
  10.21437/vcc_bc.2020-15
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24373
[Journal Article] Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction2020
- Author(s)
  Zhao Yi、Li Haoyu、Lai Cheng-I、Williams Jennifer、Cooper Erica、Yamagishi Junichi
- Journal Title
  
  Proc. Interspeech 2020
  
  Volume: 2020
- DOI
  10.21437/interspeech.2020-1615
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24373
[Presentation] Modeling and evaluation methods in current voice conversion tasks2021
- Author(s)
  Yi Zhao
- Organizer
  言語処理学会第27回年次大会
- Invited
- Data Source
  KAKENHI-PROJECT-19K24373
[Presentation] Waveform loss-based acoustic modeling for text-to-speech synthesis and speech-to-musical sound transferring2019
- Author(s)
  Yi Zhao
- Organizer
  Seminar in National University of Singapore
- Invited
- Data Source
  KAKENHI-PROJECT-19K24373

Zhao Yi Zhao Yi

Research Projects

Research Products

Can we reduce misperceptions of emotional content of speech in the noisy environments?Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Transferring Neural Speech Waveform Synthesizers to Musical Instrument Sounds Generation2020

Author(s)

Journal Title

Data Source

[Journal Article] Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Modeling and evaluation methods in current voice conversion tasks2021

Author(s)

Organizer

Data Source

[Presentation] Waveform loss-based acoustic modeling for text-to-speech synthesis and speech-to-musical sound transferring2019

Author(s)

Organizer

Data Source