Related words
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
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
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
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 to
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
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
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
-VC: Non-parallel many-to-many voice conversion using star generative adversarial networks,” in Proc
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
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
-parallel many-to-many voice conversion using star generative adversarial networks,” in Proc. 2018 IEEE
https://www.rd.ntt/cs/event/openhouse/2019/exhibition19/
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
-sequence voice conversion models for streaming conversion applications. Proc. IEEE Spoken Language
https://www.rd.ntt/cs/team_project/media/computational_modeling/
Computational Modeling Research Group | NTT Communication Science Laboratories | NTT R&D Website
, Takuhiro Kaneko & Shogo Seki (2023). Distilling sequence-to-sequence voice conversion models for streaming
https://www.rd.ntt/e/cs/team_project/media/computational_modeling/
NTT Communication Science Laboratories Open House 2020
Exhibition Download Contact Home / Lecture scripts Research Talk Communication with desired voice - Deep
https://www.rd.ntt/cs/event/openhouse/2020/research1/index_en.html
c_18.pdf
-sequence voice conversion,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, under review
https://www.rd.ntt/cs/event/openhouse/2020/download/c_18.pdf
オープンハウス冊子2020.indd
の会員。▼関連文献[1] T. Toda, A. W. Black, K. Tokuda,“Voice conversion based on maximum likelihood estimation
https://www.rd.ntt/cs/event/openhouse/2020/download/tanaka.pdf
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/