Result for "Voice Conversion",65

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

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

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

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

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

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

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/

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

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

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

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 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

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/

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

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

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 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

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 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

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/

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/

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

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/

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

Microsoft PowerPoint - C_パネル一覧0501.pptx

することができます。本研究では、音声変換技術を通して非母語話者音声や喉頭摘出者などの音声を聞き取りやすい発音や抑揚の音声に変換するシステムの実現を目指しています。 17 Speech conversion using

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

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

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

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/

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 2019

voice features of the person that he or she wants to listen to and catch the contents of that person’s

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

NTT R&D Forum - Road to IOWN 2022｜NTT R&D Website

/conversion technology for sharing maps between robots Map for robots you can use anytime anywhere A-E03IOWN

https://www.rd.ntt/e/forum/2022/exhibit.html

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/