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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 26  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, CS 2024-03-14
13:30
Okinawa   Characterization of Semantic Communications in Speech Signal Transmission
Futo Iwanaga, Daisuke Umehara (Kyoto Inst. of Tech.) CAS2023-118 CS2023-111
In recent years, the volume of data in data communication has surged, Characterization of Semantic Communications in Spe... [more] CAS2023-118 CS2023-111
pp.41-46
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
15:45
Okinawa
(Primary: On-site, Secondary: Online)
We have developed automatic speech recognition and dialect identification techniques by using COJADS, a corpus of Japane... [more]
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-23
13:50
Tokyo
(Primary: On-site, Secondary: Online)
Streaming End-to-End speech recognition using a CTC decoder with substituted linguistic information
Tatsunari Takagi (TUT), Atsunori Ogawa (NTT), Norihide Kitaoka, Yukoh Wakabayashi (TUT) SP2023-12
Speech recognition technology has been employed in various fields due to the enhancement of speech recognition model acc... [more] SP2023-12
pp.60-64
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
09:30
Okinawa
(Primary: On-site, Secondary: Online)
A Study on Scheduled Sampling for Neural Transducer-based ASR
Takafumi Moriya, Takanori Ashihara, Hiroshi Sato, Kohei Matsuura, Tomohiro Tanaka, Ryo Masumura (NTT) EA2022-100 SIP2022-144 SP2022-64
In this paper, we propose scheduled sampling approaches suited for the recurrent neural network-transducer (RNNT) that i... [more] EA2022-100 SIP2022-144 SP2022-64
pp.147-152
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
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
SP, EA, SIP 2020-03-02
09:20
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Investigation of neural speech rate conversion with multi-speaker WaveNet vocoder
Takuma Okamoto (NICT), Keisuke Matsubara (Kobe Univ./NICT), Tomoki Toda (Nagoya Univ./NICT), Yoshinori Shiga, Hisashi Kawai (NICT) EA2019-101 SIP2019-103 SP2019-50
Speech rate conversion technology, which can expand or compress speech waveforms without changing pitch of sound, is con... [more] EA2019-101 SIP2019-103 SP2019-50
pp.1-6
SP, EA, SIP 2020-03-02
15:45
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Performance evaluation of distilling knowledge using encoder-decoder for CTC-based automatic speech recognition systems
Takafumi Moriya, Hiroshi Sato, Tomohiro Tanaka, Takanori Ashihara, Ryo Masumura, Yusuke Shinohara (NTT) EA2019-131 SIP2019-133 SP2019-80
We present a novel training approach for connectionist temporal classification (CTC) -based automatic speech recognition... [more] EA2019-131 SIP2019-133 SP2019-80
pp.175-180
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] An Educational Study on Prosodic Symbols and Their Acoustic Realization Using Japanese End-to-end Speech Synthesis
Fuki Yoshizawa (UTokyo), Tadashi Kumano (NHK), Nobuaki Minematsu (UTokyo), Kiyoshi Kurihara (NHK) EA2019-137 SIP2019-139 SP2019-86
In order to examine the educational effect of presenting prosodic symbols to learners of Japanese, a method was proposed... [more] EA2019-137 SIP2019-139 SP2019-86
pp.207-212
EA, SIP, SP 2019-03-14
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Use and evaluation of Tacotron and context features in rakugo speech synthesis
Shuhei Kato (SOKENDAI/NII), Shinji Takaki, Junichi Yamagishi (NII), Yusuke Yasuda (SOKENDAI/NII), Xin Wang (NII) EA2018-126 SIP2018-132 SP2018-88
We have been working on constructing rakugo (a traditional Japanese verbal entertainment) speech synthesis toward speech... [more] EA2018-126 SIP2018-132 SP2018-88
pp.161-166
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] A Design of Reduced Phoneme Set Based on a Language Model
Shuji Komeiji, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) EA2018-134 SIP2018-140 SP2018-96
A design of reduced phoneme set based on a language model is proposed. The reduction of the phoneme set improves discrim... [more] EA2018-134 SIP2018-140 SP2018-96
pp.205-210
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Data augmentation using multiple databases for end-to-end dysarthric speech recognition
Yuki Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) EA2018-156 SIP2018-162 SP2018-118
We present in this paper an end-to-end speech recognition system for a Japanese person with an articulation disorder res... [more] EA2018-156 SIP2018-162 SP2018-118
pp.335-340
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] An Experimental Study on Segmental and Prosodic Comparison of Utterances for Automatic Assessment of Dubbing Speech
Takuya Ozuru, Nobuaki Minematsu, Daisuke Saito (Univ. of Tokyo) EA2017-114 SIP2017-123 SP2017-97
In Japanese language education, especially in its speech training, dubbing-based training has gained a
huge popularity.... [more]
EA2017-114 SIP2017-123 SP2017-97
pp.75-80
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] Do prosodic manual annotations matter for Japanese speech synthesis systems with WaveNet vocoder?
Hieu-Thi Luong, Xin Wang, Junichi Yamagishi (NII), Nobuyuki Nishizawa (KDDI Research) EA2017-140 SIP2017-149 SP2017-123
We investigated the impact of noisy linguistics features on the performance of a Japanese neural net- work based speech ... [more] EA2017-140 SIP2017-149 SP2017-123
pp.215-220
SP, ASJ-H 2018-01-20
14:55
Tokyo The University of Tokyo [Poster Presentation] Automatic speech quality control of English listening materials and examination of Japanese learners’ listening ability in terms of robustness
Zhang Haoyu, Inoue Yusuke, Saito Daisuke, Minematsu Nobuaki (UTokyo), Yamauchi Yutaka (TIU), Masuda Hinako (SeikeiU) SP2017-71
When a speaker speaks and a listener listens to that speaker, extra-linguistic and environmental factors often degrade t... [more] SP2017-71
pp.31-34
SP 2016-01-14
11:20
Kanagawa Sunpian Kawasaki Experimental verification of improvement of naturalness by prosody training of Japanese with OJAD
Nobuaki Minematsu (UTokyo), Hiroko Hirano, Noriko Nakamura (TUFS), Koji Oikawa (JASLON) SP2015-87
To support Japanese prosody instruction, the Online Japanese Accent Dictionary (OJAD) has been developed by using NLP an... [more] SP2015-87
pp.13-18
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2015-12-02
13:55
Aichi Nagoya Inst of Tech. Automation of high performance system building for large vocabulary speech recognition using evolution strategy with pareto optimality
Takafumi Moriya, Tomohiro Tanaka, Takahiro Shinozaki (Tokyo Tech), Shinji Watanabe (MERL), Kevin Duh (NAIST) SP2015-75
The performance of speech recognition tasks can be significantly improved by the use of deep neural networks (DNN). Howe... [more] SP2015-75
pp.31-36
SP 2013-11-22
14:30
Nara Nara Institute of Science and Technology Development of a pronunciation training program in Japanese using an automatic speech recognition engine
Hiroshi Matsuzaki, Shingo Imai, Masako Furukawa (Univ. of Tsukuba) SP2013-81
This presentation discusses the development of a pronunciation training program in Japanese using an automatic speech re... [more] SP2013-81
pp.59-63
SP 2013-01-30
16:15
Kyoto Doshisha Univ. Improvement of context label in HMM-based speech synthesis for Japanese
Hiroya Hashimoto, Keikichi Hirose, Nobuaki Minematsu (Univ. of Tokyo) SP2012-103
An improved set of context labels was proposed for HMM-based speech synthesis of Japanese. The conventional labels incl... [more] SP2012-103
pp.31-36
SP 2013-01-31
16:15
Kyoto Doshisha Univ. Evaluation and Automatic Estimation of Voice Characteristic Similarity Using Isolated Vowels
Shohei Tsujimura, Masanori Morise, Yoichi Yamashita (Ritsumeikan Univ.) SP2012-114
This paper describes a method of voice characteristic similarity focusing on difference of voice characteristics conveye... [more] SP2012-114
pp.97-102
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