Communication with Desired Voice | NTT R&D Website
physical or psychological constraints. Voice-conversion techniques help us go beyond this limitation and
https://www.rd.ntt/e/research/JN202009_6715.html
Science and Technology Are the Collective Wisdom of Our Predecessors. It Is Our Mission-the Researchers of Today-to Make Them Even Better | NTT R&D Website
Today-to Make Them Even Better voice conversion sound-source separation crossmodal signal generation
https://www.rd.ntt/e/research/JN202305_21819.html
スライド 1
Face-to-voice conversion and voice-to-face conversion - Crossmodal voice conversion with deep
https://www.rd.ntt/cs/event/openhouse/2019/download/19_c_en.pdf
スライド 1
Changing your voice and speaking style - Voice and prosody conversion with sequence-to-sequence model - We
https://www.rd.ntt/cs/event/openhouse/2019/download/18_c_en.pdf
NTT Communication Science Laboratories Open House 2019
Changing your voice and speaking style - Voice and prosody conversion with sequence-to-sequence model
https://www.rd.ntt/cs/event/openhouse/2019/exhibition18/index_en.html
NTT Communication Science Laboratories Open House 2019
Face-to-voice conversion and voice-to-face conversion - Crossmodal voice conversion with deep
https://www.rd.ntt/cs/event/openhouse/2019/exhibition19/index_en.html
Augmenting Communication Capabilities with Cutting-edge Voice-conversion Technology that Enables Users to Freely Customize the Impression of Their Voice | NTT R&D Website
Augmenting Communication Capabilities with Cutting-edge Voice-conversion Technology that Enables
https://www.rd.ntt/e/research/JN202511_37040.html
G02-01-e.pdf
Real-time voice conversion changing your voice and speaking style Rich speech communication where you
https://www.rd.ntt/forum/2024/doc/G02-01-e.pdf
スライド 1
is voice conversion (VC), a technique to convert para/non-linguistic information contained in a given
https://www.rd.ntt/cs/event/openhouse/2020/download/c_18_en.pdf
スライド 1
, H. Kameoka, “Non-Parallel voice conversion using cycle-consistent adversarial networks,” submitted
https://www.rd.ntt/cs/event/openhouse/2018/exhibition/20/poster_en_20.pdf
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
NTT Communication Science Laboratories Open House 2019
conversion with sequence-to-sequence model Face-to-voice conversion and voice-to-face conversion Crossmodal
https://www.rd.ntt/cs/event/openhouse/2019/program_en.html
Takuhiro Kaneko | NTT R&D Website
2017. Voice Conversion Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo, "MaskCycleGAN-VC
https://www.rd.ntt/e/organization/researcher/special/s_046.html
NTT Communication Science Laboratories Open House 2016
Intonation morphing from one speaker to another - Prosody conversion with generative voice F0 contour model
https://www.rd.ntt/cs/event/openhouse/2016/exhibition/17/index_en.html
Pursuing Elegance and Creating a Research-goal Umbrella | NTT R&D Website
technique called voice conversion, which converts an input voice into another person's voice, has been
https://www.rd.ntt/e/research/JN202008_6056.html
poster_en_17.pdf
interested in developing a pronunciation conversion system that can convert non-native speech into
https://www.rd.ntt/cs/event/openhouse/2017/exhibition/17/poster_en_17.pdf
poster_en.pdf
conversion with generative voice F0 contour model ~ A voice F0 contour, one of the essential components of
https://www.rd.ntt/cs/event/openhouse/2016/exhibition/17/poster_en.pdf
スライド 1
~ Crossmodal voice conversion with deep generative models クロスモーダル声質変換問題の提案 情報論的アプローチによる問題の定式化 亀岡 弘和 (Hirokazu
https://www.rd.ntt/cs/event/openhouse/2019/download/19_c.pdf
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
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/