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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
An experimental survey on speaker embedding spaces for controlling speaker identity in speech synthesis system Wakuto Morita, Daisuke Saito, Nobuaki Minematsu (Univ. of Tokyo)  EA2023-93 SIP2023-140 SP2023-75 |
This study investigated the influence of the discriminability of speaker encoders on speech synthesis models that can co... [more] | EA2023-93 SIP2023-140 SP2023-75 pp.190-195 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Multi-Dialect Speech Synthesis with Interpretable Accent latent Variable based on VQ-VAE Kazuki Yamauchi, Yuki Saito, Hiroshi Saruwatari (UTokyo) EA2023-98 SIP2023-145 SP2023-80 |
In this paper, we address two tasks: "Intra-dialect Text-to-Speech (TTS)," aiming to synthesize speech in the same diale... [more] | EA2023-98 SIP2023-145 SP2023-80 pp.220-225 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Intermediate speaker speech synthesis between two speakers using x-vector speaker space Sota Hosoi, Takahiro Kinouchi, Yukoh Wakabayashi, Norihide Kitaoka (TUT) EA2023-103 SIP2023-150 SP2023-85 |
Recent advancements in speech synthesis technologies have enabled the synthesis of speeches of speakers not in the train... [more] | EA2023-103 SIP2023-150 SP2023-85 pp.250-255 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
An Investigation on the Speech Recovery from EEG Signals Using Transformer Tomoaki Mizuno (The Univ. of Electro-Communications), Takuya Kishida (Aichi Shukutoku Univ.), Natsue Yoshimura (Tokyo Tech), Toru Nakashika (The Univ. of Electro-Communications) EA2023-108 SIP2023-155 SP2023-90 |
Synthesizing full speech from ElectroEncephaloGraphy(EEG) signals is a challenging task. In this paper, speech reconstru... [more] | EA2023-108 SIP2023-155 SP2023-90 pp.277-282 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
MS-Harmonic-Net++ vs SiFi-GAN: Comparison of fundamental frequency controllable fast neural waveform generative models. Sota Shimizu (Kobe Univ./NICT), Takuma Okamoto (NICT), Ryoichi Takashima (Kobe Univ.), Yamato Ohtani (NICT), Tetsuya Takiguchi (Kobe Univ.), Tomoki Toda (Nagoya Univ./NICT), Hisashi Kawai (NICT) SP2023-5 |
Although Harmonic-Net+ has been proposed as a fundamental frequency (fo) and speech rate (SR) controllable fast neural v... [more] | SP2023-5 pp.20-25 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Opera-singing voice synthesis using Diff-SVC Aoto Sugahara (Kobe Univ.), Soma Kishimoto, Yuji Adachi, Kiyoto Tai (MEC Company Ltd.), Ryoichi Takashima, Testuya Takiguchi (Kobe Univ.) SP2023-7 |
Singing voice synthesis technology is widely used in the entertainment field, it has attracted attention as a method to ... [more] | SP2023-7 pp.30-35 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-24 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Fast Neural Waveform Generation Model With Fully Connected Upsampling Haruki Yamashita (Kobe cniv/NICT), Takuma Okamoto (NICT), Ryoichi Takashima (Kobe Univ), Yamato Ohtani (NICT), Tetsuya Takiguchi (Kobe Univ), Tomoki Toda (Nagoya Univ/NICT), Hisashi Kawai (NICT) SP2023-15 |
In recent years, in text-to-speech synthesis, it is required to improve the inference speed while keeping the quality. ... [more] |
SP2023-15 pp.73-78 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-24 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Effect of pause length ratio in speech length on the perception of speech rate induced by speech length Maho Tamakawa, Shuichi Sakamoto (Tohoku Univ.) SP2023-23 |
The goal of this study is to investigate the mechanism of the perception of speech rate. In this preliminary study, we i... [more] | SP2023-23 pp.114-118 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-24 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Evaluation of multi-speaker text-to-speech synthesis using a corpus for speech recognition with x-vectors for various speech styles Koki Hida (Wakayama Univ/NICT), Takuma Okamoto (NICT), Ryuichi Nisimura (Wakayama Univ), Yamato Ohtani (NICT), Tomoki Toda (Nagoya Univ/NICT), Hisashi Kawai (NICT) SP2023-25 |
We have implemented multi-speaker end-to-end text-to-speech synthesis based on JETS using x-vectors as speaker embedding... [more] | SP2023-25 pp.125-130 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 15:10 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
[Invited Talk]
-- Yuma Koizumi (Google Research) PRMU2022-87 IBISML2022-94 |
Machine learning tasks that deal with acoustic signals can be broadly classified into "recognizing sounds" and "generati... [more] | PRMU2022-87 IBISML2022-94 p.149 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 09:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Comparison of fundamental frequency controllable fast neural waveform generative models. Sota Shimizu (Kobe Univ./NICT), Takuma Okamoto (NICT), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ.), Tomoki Toda (Nagoya Univ./NICT), Hisashi Kawai (NICT) EA2022-75 SIP2022-119 SP2022-39 |
Neural vocoders, which reconstruct speech waveforms from acoustic features with deep neural networks, have significantly... [more] | EA2022-75 SIP2022-119 SP2022-39 pp.1-6 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
MS-FC-HiFiGAN : Fast Neural Waveform Generation Model With Learnable Lightweight Upsampling Haruki Yamashita (Kobe Univ/NICT), Takuma Okamoto (NICT), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ), Tomoki Toda (Nagoya Univ/NICT), Hisashi Kawai (NICT) EA2022-76 SIP2022-120 SP2022-40 |
In recent years, in text-to-speech synthesis, it is required to improve the inference speed while keeping the quality. ... [more] |
EA2022-76 SIP2022-120 SP2022-40 pp.7-12 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 09:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
End-to-End Speech Synthesis Based on Articulatory Movements Captured by Real-time MRI Yuto Otani, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada (Tokyo Univ. Sci.) EA2022-77 SIP2022-121 SP2022-41 |
We propose an end-to-end deep learning model for speech synthesis based on articulatory movements captured by real-time ... [more] | EA2022-77 SIP2022-121 SP2022-41 pp.13-18 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 13:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Multiple sound spot synthesis meets multilingual speech synthesis
-- Implementation is really all we need -- Takuma Okamoto (NICT) EA2022-87 SIP2022-131 SP2022-51 |
A multilingual multiple sound spot synthesis system is implemented as a user interface for real-time speech translation ... [more] | EA2022-87 SIP2022-131 SP2022-51 pp.73-76 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 15:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Speech synthesis from electrocorticogram using pre-trained neural vocoder Kai Shigemi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Kohei Yatabe, Toshihisa Tanaka (TUAT) |
(To be available after the conference date) [more] | |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 11:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Representation and Prediction of Accent Phrase Prosodic Features in Japanese Text-to-Speech Masaki Sato, Shinnosuke Takamichi, Hiroshi Saruwatari (The Univ. of Tokyo) EA2022-108 SIP2022-152 SP2022-72 |
In order to use speech synthesis in a variety of situations such as dialogue systems and emotional expression in audiobo... [more] | EA2022-108 SIP2022-152 SP2022-72 pp.197-202 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 11:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
An Investigation of Text-to-Speech Synthesis Using Voice Conversion and x-vector Embedding Sympathizing Emotion of Input Audio for Spoken Dialogue Systems Shunichi Kohara, Masanobu Abe, Sunao Hara (Okayama Univ.) EA2022-109 SIP2022-153 SP2022-73 |
In this paper, we propose a Text-to-Speech synthesis method to synthesize the same emotional expression as the input spe... [more] | EA2022-109 SIP2022-153 SP2022-73 pp.203-208 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 14:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Corpus construction toward multi-domain empathetic dialogue speech synthesis Yuki Saito, Eiji Iimori, Shinnosuke Takamichi (UT), Kentaro Tachibana (LINE), Hiroshi Saruwatari (UT) |
(To be available after the conference date) [more] | |
| EA, US (Joint) |
2022-12-22 13:30 |
Hiroshima | Satellite Campus Hiroshima | [Poster Presentation]
Quality Improvement of Children's Speech with Multiple Inputs of Speaker Vectors in a General Purpose Vocoder Satoshi Yoshida, Ken'ichi Furuya (Oita Univ.), Hideyuki Mizuno (SUS) EA2022-64 |
Neural vocoders used in speech synthesis are capable of synthesizing high-quality speech that is indistinguishable from ... [more] | EA2022-64 pp.18-23 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2022-11-30 15:30 |
Tokyo | (Primary: On-site, Secondary: Online) |
Semi-supervised joint training of text to speech and automatic speech recognition using unpaired text data Naoki Makishima, Satoshi Suzuki, Atsushi Ando, Ryo Masumura (NTT) NLC2022-14 SP2022-34 |
This paper presents a novel joint training of text to speech (TTS) and automatic speech recognition (ASR) with small amo... [more] | NLC2022-14 SP2022-34 pp.27-32 |
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