Result for "Voice Conversion",95

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/

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

). FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillationa

https://www.rd.ntt/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-to-sequence voice conversion,” IEEE/ACM Transactions on Audio, Speech, and Language Processing

https://www.rd.ntt/cs/event/openhouse/2020/download/c_18.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

替えたりできる音声処理技 術への応用が期待されます。プレゼ ンの練習や語学の学習支援としても 利用することができます。 0017 Prosody conversion with generative voice F0

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

オープンハウス冊子2020.indd

. Black, K. Tokuda, “Voice conversion based on maximum likelihood estimation of spectral parameter

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

Expressive Speech-synthesis Technology Supports People's Daily Lives | NTT R&D Website

include text-to-speech synthesis, voice conversion, automatic speech recognition, and speech analysis. He

https://www.rd.ntt/e/research/JN202504_33343.html

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

のスタイルに変える ～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

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

Convert the English speech rhythms of native Japanese speaker into native-like speech | NTT R&D Website

Conversion to native English rhythms through mobile devices Conversion to English rhythms for video

https://www.rd.ntt/e/research/CS0003.html

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

金子 卓弘 | NTT R&D Website

Kameoka, Kou Tanaka, Nobukatsu Hojo, "MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling

https://www.rd.ntt/organization/researcher/special/s_046.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/

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

Speech Recognition Technologies for Creating Knowledge Resources from Communications｜NTT R&D Website

,” “Ok, Google.” These are the first words you speak to your voice assistant, and no doubt most people

https://www.rd.ntt/e/research/JN202010_7482.html

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

entitled “LatentVoiceGrad: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching Models” has

https://www.rd.ntt/e/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

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/

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

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