Result for "Voice Conversion",65

poster.pdf

することができます。 0017 Prosody conversion with generative voice F0 contour model 時間フレーズ・アクセント強度周波数甲状軟骨に加わる力を合成する時間周波数時間回転

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/17/poster.pdf

NTT Communication Science Laboratories Open House 2017

Exhibition Program 17 Converting English speech to native-like pronunciation Speech conversion using vocal

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/17/index_en.html

スライド 1

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

https://www.rd.ntt/cs/event/openhouse/2019/download/23_d_en.pdf

スライド 1

る～系列変換モデルに基づく声質と韻律の同時変換～ Voice and prosody conversion with Sequence-to-sequence model 音声変換システムの全体像田中宏

https://www.rd.ntt/cs/event/openhouse/2019/download/18_c.pdf

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

/10289823 June 2023 Our paper “PRVAE-VC: Non-parallel many-to-many voice conversion with perturbation

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

2019_booklet_english.pdf

, counting and diarization model～ 18 Changing your voice and speaking style ～Voice and prosody conversion

https://www.rd.ntt/cs/event/openhouse/2019/download/2019_booklet_english.pdf

NTT Communication Science Laboratories Open House 2015

, synthesizing and converting speech prosody - Generative modeling of voice fundamental frequency contours

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/16/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 2016 Program

another - Prosody conversion with generative voice F0 contour model - Additional finding beyond the real

https://www.rd.ntt/cs/event/openhouse/2016/program_en.html

poster_en.pdf

.jp 16 ～Generative modeling of voice fundamental frequency contours～[1] H. Kameoka, K. Yoshizato, T

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/16/poster_en.pdf

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

-parallel many-to-many voice conversion with perturbation-resistant variational autoencoder” が国際会議 ISCA

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

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

スライド 1

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

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 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

: Disentangled and F0-Controllable Neural Voice Conversion.” ・Keisuke Takazawa, Hirokazu Kameokay, Masahiro

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

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

, “DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion.” ・Keisuke Takazawa, Hirokazu

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

2020_booklet_en.pdf

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

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

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