Result for "Voice Conversion",93

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

スライド 1

Autoencoder 音声デモ はこちら [1] T. Kaneko, H. Kameoka, “Non-Parallel voice conversion using cycle-consistent

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/20/poster20.pdf

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 2019

chirping birds, music of bubbling water - Sound texture conversion with an auditory model - Abstract

https://www.rd.ntt/cs/event/openhouse/2019/exhibition23/index_en.html

NTT コミュニケーション科学基礎研究所 オープンハウス2019

, T. Kaneko, N. Hojo, “AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context

https://www.rd.ntt/cs/event/openhouse/2019/exhibition18/

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

, K. Tanaka, Y. Kondo, "MeanVoiceFlow: One-step Nonparallel Voice Conversion with Mean Flows" ・B. T

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

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

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/

Researchers Are the Source of Social Progress. Be Confident in Your Research Theme and Aim for the Next Big Topic | NTT R&D Website

COVID-19 pandemic, remote work, for which image and voice communication using personal computers and

https://www.rd.ntt/e/research/JN202302_20970.html

2020_booklet_en.pdf

situation? - Sentiment text generation based on personality 15. Can you guess the age from this voice

https://www.rd.ntt/cs/event/openhouse/2020/download/2020_booklet_en.pdf

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/

あなたの声はどんな声？ どんな声でしゃべりたい？｜NTT R&D Website

. Tokuda: “Voice conversion based on maximum likelihood estimation of spectral para- meter trajectory,”IEEE

https://www.rd.ntt/research/JN202009_6715.html

Getting closer to humans with AI and understanding humans with brain science: AI with a deep understanding of people, capable of coexisting with us｜NTT R&D Website

distinguish speakers even with similar voices. We are also developing voice conversion technology that makes

https://www.rd.ntt/e/ai/0003.html

NTT Communication Science Laboratories Open House 2015 Program

- Media Intelligence Analyzing, synthesizing and converting speech prosody - Generative modeling of voice

https://www.rd.ntt/cs/event/openhouse/2015/program_en.html

Microsoft PowerPoint - C_パネル一覧0501.pptx

を目指しています。 17 Speech conversion using vocal tract model and deep generative models 亀岡 弘和 (Hirokazu

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/17/poster17.pdf

NTT Communication Science Laboratories Open House 2020

having somewhat similar voices. In addition, new voice conversion technology is making it possible to

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

IOWN INTEGRAL | NTT R&D Website

for doing so are “optical path design technology” and “wavelength conversion and wavelength-band

https://www.rd.ntt/e/forum/2024/keynote_2.html

I Want to Learn More about You: Getting Closer to Humans with AI and Brain Science | NTT R&D Website

developing DNN-based voice-conversion technology that makes it possible to freely change such voice features

https://www.rd.ntt/e/research/JN202009_6443.html

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/

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/