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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2024-03-27
13:00
Hokkaido RUSUTSU RESORT Training of Encoder-Decoder models and its application towards edge computing
Koki Nobori, Hiiro Yamazaki, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-42
This study investigates the use of the Encoder-Decoder architecture and its application to generative AI for learning on... [more] CCS2023-42
pp.18-23
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
09:30
Okinawa
(Primary: On-site, Secondary: Online)
Domain adaptation of speech recognition model based on multilingual SSL model with only nonparallel corpus.
Takahiro Kinouchi (TUT), Atsunori Ogawa (NTT), Yukoh Wakabayashi (TUT), Kengo Ohta (NITA), Norihide Kitaoka (TUT) EA2023-100 SIP2023-147 SP2023-82
Automatic speech recognition (ASR) models are used in various services and businesses, and each domain’s recognition acc... [more] EA2023-100 SIP2023-147 SP2023-82
pp.232-237
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-24
13:50
Tokyo
(Primary: On-site, Secondary: Online)
Domain adaptation of speech recognition models based on self-supervised learning using target domain speech
Takahiro Kinouchi (TUT), Atsunori Ogawa (NTT), Yuko Wakabayashi, Norihide Kitaoka (TUT) SP2023-19
In this study, we propose a domain adaptation method using only speech data in the target domain without using transcrib... [more] SP2023-19
pp.91-96
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-24
13:50
Tokyo
(Primary: On-site, Secondary: Online)
Automatic speech recognition model simultaneously recognizes linguistic information and verbal/non-verbal phenomena
Nagito Shione, Yukoh Wakabayashi, Norihide Kitaoka (TUT) SP2023-22
Although speech recognition technology has advanced in recent years, most of them recognize only linguistic information ... [more] SP2023-22
pp.109-113
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2022-12-01
15:50
Tokyo
(Primary: On-site, Secondary: Online)
ASR model adaptation to target domain with large-scale audio data without transcription
Takahiro Kinouchi, Daiki Mori (TUT), Ogawa Atsunori (NTT), Norihide Kitaoka (TUT) NLC2022-18 SP2022-38
Nowadays, speech recognition is used in various services and businesses thanks to the advent of high-performance models ... [more] NLC2022-18 SP2022-38
pp.50-53
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
16:10
Online Online Estimation of imagined speech from electrocorticogram with an encoder-decoder model
Kotaro Hayashi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (TokyoTech), Toshihisa Tanaka (TUAT) EA2020-87 SIP2020-118 SP2020-52
Recent advances in signal processing and machine learning technologies have made it possible to estimate and reconstruct... [more] EA2020-87 SIP2020-118 SP2020-52
pp.164-169
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
17:10
Online Online A Vocoder-free Any-to-Many Voice Conversion using Pre-trained vq-wav2vec
Takeshi Koshizuka, Hidefumi Ohmura, Kouichi Katsurada (TUS) EA2020-89 SIP2020-120 SP2020-54
Voice conversion (VC) is a technique that converts speaker-dependent non-linguistic information to another speaker's one... [more] EA2020-89 SIP2020-120 SP2020-54
pp.176-181
WIT, SP, IPSJ-SLP [detail] 2020-10-22
13:00
Online Online [Invited Talk] NHK's activities on Japanese end-to-end speech synthesis
Kiyoshi Kurihara (NHK) SP2020-11 WIT2020-12
The main business of NHK (Japan Broadcasting Corporation) is the production and broadcasting of programs. Many programs ... [more] SP2020-11 WIT2020-12
pp.19-20
EA, SIP, SP 2019-03-15
10:25
Nagasaki i+Land nagasaki (Nagasaki-shi) Neural Language Models based on Conditional Hierarchical Recurrent Encoder-Decoder for Multi-Party Conversational Speech Recognition
Ryo Masumura, Tomohiro Tanaka, Atsushi Ando, Takanobu Oba, Yushi Aono (NTT) EA2018-131 SIP2018-137 SP2018-93
This paper presents fully neural network based language models (LMs) that can leverage long-range conversational context... [more] EA2018-131 SIP2018-137 SP2018-93
pp.191-196
SP 2019-01-27
10:40
Ishikawa Kanazawa-Harmonie Evaluation of end-to-end speech synthesis method using speaking styles
Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano, Atsushi Imai (NHK) SP2018-58
The purpose of this study was to conduct end-to-end text-to-speech synthesis in Japanese; we developed a system that use... [more] SP2018-58
pp.29-34
PRMU 2018-12-13
10:45
Miyagi   An attention-based encoder-decoder for recognizing Japanese historical document recognition
Le Duc Anh (CODH), Mochihashi daichi (ISM), Masuda katsuya, Mima Hideki (UT) PRMU2018-78
Inspired by the recent successes of attention based encoder-decoder (AED) approach on image captioning, machine translat... [more] PRMU2018-78
pp.19-22
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-10
16:30
Tokyo Waseda Univ. Nishiwaseda Campus Evaluation of Japanese end-to-end speech synthesis method inputting kana and prosodic symbols
Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano, Atsushi Imai (NHK) SP2018-49
The purpose of this study was to conduct end-to-end text-to-speech synthesis in Japanese; we developed a system that use... [more] SP2018-49
pp.89-94
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-12
17:00
Tokyo Waseda Univ. Nishiwaseda Campus Application of Neural Title Generation as News Editing Assistant
Kazuma Murao (Yahoo Japan Corporation), Hayato Kobayashi (Yahoo Japan Corporation/RIKEN AIP), Taichi Yatsuka, Ken Kobayashi, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi (Yahoo Japan Corporation) NLC2018-34
There have been many studies on automatic title generation based on neural networks.
However, there are a number of cha... [more]
NLC2018-34
pp.109-115
 Results 1 - 13 of 13  /   
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