Result for "Voice Conversion",93

Updates | NTT R&D Website

Capabilities with Cutting-edge Voice-conversion Technology that Enables Users to Freely Customize the

https://www.rd.ntt/e/update_information/

NTT コミュニケーション科学基礎研究所 オープンハウス2018

voice conversion using cycle-consistent adversarial networks,” accepted for publication in Proc. 26th

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/20/

NTT Communication Science Laboratories Open House 2018

. Reference [1] T. Kaneko, H. Kameoka, “Non-Parallel voice conversion using cycle-consistent adversarial

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/20/index_en.html

Speech information processing | NTT R&D Website

Shinnosuke Takamichi, ``Non-parallel and many-to-many voice conversion using variational autoencoders

https://www.rd.ntt/e/hil/category/voice/

NTT コミュニケーション科学基礎研究所 オープンハウス2020

convolutional sequence-to-sequence voice conversion,” IEEE/ACM Transactions on Audio, Speech, and Language

https://www.rd.ntt/cs/event/openhouse/2020/exhibition18/

事象モデリング研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

). FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillationa

https://www.rd.ntt/cs/team_project/media/computational_modeling/

Computational Modeling Research Group | NTT Communication Science Laboratories | NTT R&D Website

Seki (2024). VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics. IEEE

https://www.rd.ntt/e/cs/team_project/media/computational_modeling/

メディア情報研究部　過去のニュース｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching Models」がIEEE Transactions on Acoustics

https://www.rd.ntt/cs/team_project/media/past_news.html

NTT Communication Science Laboratories Open House 2020

technique to overcome some of these barriers is voice conversion (VC), a technique to convert para/non

https://www.rd.ntt/cs/event/openhouse/2020/exhibition18/index_en.html

人間情報研究部｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

voice quality. Proc. INTERSPEECH 2023. Ryo Watanabe, Takuya Koumura, Hiroki Terashima, Shigeto Furukawa

https://www.rd.ntt/cs/team_project/human/

メディア認識研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Sequence-to-Sequence Voice Conversion," IEEE/ACM Transactions on Audio, Speech, and Language Processing

https://www.rd.ntt/cs/team_project/media/recognition/

NTT Communication Science Laboratories Open House 2018

brain pathways ∼Investigation of the mechanisms of speech communication by speech conversion and brain

https://www.rd.ntt/cs/event/openhouse/2018/en_simple/index_en.html

NTT Communication Science Laboratories Open House 2018 Program

the mechanisms of speech communication by speech conversion and brain imaging∼ Sadao Hiroya, Human

https://www.rd.ntt/cs/event/openhouse/2018/program_en.html

Media Information Laboratory Past news | NTT Communication Science Laboratories | NTT R&D Website

entitled “LatentVoiceGrad: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching Models” has

https://www.rd.ntt/e/cs/team_project/media/past_news.html

Signal Processing Research Group | NTT Communication Science Laboratories | NTT R&D Website

, such as a voice interface, become increasingly popular in our daily lives. This means that speech will

https://www.rd.ntt/e/cs/team_project/media/signal/

Recognition Research Group | NTT Communication Science Laboratories | NTT R&D Website

Sequence-to-Sequence Voice Conversion," IEEE/ACM Transactions on Audio, Speech, and Language Processing

https://www.rd.ntt/e/cs/team_project/media/recognition/

NTT R&D Forum 2019 Report｜NTT R&D Website

opto-electronic conversion devices, to realize high-performance, ultra-low-power consumption chips that

https://www.rd.ntt/e/forum/2019/

Human Information Science Laboratory | NTT Communication Science Laboratories | NTT R&D Website

advertising speech using voice quality. Proc. INTERSPEECH 2023. Ryo Watanabe, Takuya Koumura, Hiroki Terashima

https://www.rd.ntt/e/cs/team_project/human/

音声情報処理 | NTT R&D Website

, Yusuke Ijima, Kyosuke Nishida, and Shinnosuke Takamichi, ``Non-parallel and many-to-many voice conversion

https://www.rd.ntt/hil/category/voice/

メディア情報研究部｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Seki (2024). VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics. IEEE

https://www.rd.ntt/cs/team_project/media/