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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 45  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
15:45
Okinawa
(Primary: On-site, Secondary: Online)
(To be available after the conference date) [more]
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
10:40
Okinawa
(Primary: On-site, Secondary: Online)
An Investigation into Weighting Strategies for Model Averaging in Continual Learning for Automatic Speech Recognition
Kentaro Shinayama, Hiroshi Sato, Tomoharu Iwata, Takeshi Mori, Taichi Asami (NTT) EA2023-105 SIP2023-152 SP2023-87
(To be available after the conference date) [more] EA2023-105 SIP2023-152 SP2023-87
pp.262-267
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] 2023-12-03
09:30
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Enhancing Recognition of Rare Words in ASR through Error Detection and Context-Aware Error Correction
Jiajun He, Zekun Yang, Tomoki Toda (Nagoya Univ.) NLC2023-16 SP2023-36
Automatic speech recognition (ASR) systems often suffer from errors, particularly when recognizing rare words. These err... [more] NLC2023-16 SP2023-36
pp.13-18
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] 2023-12-03
11:05
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Poster Presentation] Enhancing Multi-Accent Automated Speech Recognition with Accent-Activated Adapters
Yuqin Lin, Longbiao Wang, Jianwu Dang (Tianjin Univ. & Univ. of Tokyo), Nobuaki Minematsu (Univ. of Tokyo) NLC2023-18 SP2023-38
This paper proposes the Accent-Activated adapter (AccentAct) approach to address the challenge of speech variations in m... [more] NLC2023-18 SP2023-38
pp.25-30
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] 2023-12-03
11:05
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Poster Presentation] Enhancing Dysarthric Speech Recognition with Auxiliary Feature Fusion Module: Exploring Articulatory-related Features from Foundation Models
Yuqin Lin, Longbiao Wang, Jianwu Dang (Tianjin Univ. & Univ. of Tokyo), Nobuaki Minematsu (Univ. of Tokyo) NLC2023-19 SP2023-39
Addressing dysarthric speech variability in Automatic Speech Recognition (ASR) is crucial for improving human-computer i... [more] NLC2023-19 SP2023-39
pp.31-36
ET 2023-10-21
15:30
Nagano Shinshu University Faculty of Engineering "Listening" Performance of Generative AI and Elementary Foreign Language Learners in Code-Switching Discourse
Sunaoka Kazuko (Waseda Univ.), Qin Xu (Kyoto Univ.) ET2023-23
We used the Whisper model to automatically recognize and process teachers' Japanese and Chinese code-switching (CS) in a... [more] ET2023-23
pp.33-37
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-23
13:50
Tokyo
(Primary: On-site, Secondary: Online)
[Poster Presentation] Generation of colored subtitle images based on emotional information of speech utterances
Fumiya Nakamura (Kobe Univ.), Ryo Aihara (Mitsubishi Electric), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ.), Yusuke Itani (Mitsubishi Electric) SP2023-11
Conventional automatic subtitle generation systems based on speech recognition do not take into account paralinguistic i... [more] SP2023-11
pp.54-59
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
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
10:10
Okinawa
(Primary: On-site, Secondary: Online)
Vocabulary-Set Decomposition and Multi-task Learning for Target Vocabulary Extraction in Japanese Speech Recognition
Aoi Ito (LINE/Hosei Univ.), Tatsuya Komatsu, Yusuke Fujita (LINE) EA2022-102 SIP2022-146 SP2022-66
This paper proposes a target vocabulary extraction method for Japanese speech recognition models based on vocabulary set... [more] EA2022-102 SIP2022-146 SP2022-66
pp.159-164
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
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2022-12-01
14:50
Tokyo
(Primary: On-site, Secondary: Online)
A Japanese Automatic Speech Recognition System on the Next-Gen Kaldi Framework
Wen Shen Teo, Yasuhiro Minami (UEC) NLC2022-16 SP2022-36
2021 saw the introduction of the cutting-edge successor to the Kaldi speech processing toolkit, known as Next-Gen Kaldi.... [more] NLC2022-16 SP2022-36
pp.39-44
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-17
15:00
Online Online Representation and analytical normalization for vocal-tract-length transformation by group theory
Atsushi Miyashita, Tomoki Toda (Nagoya Univ) SP2022-11
In automatic speech recognition, a recognition result should be invariant with respect to acoustic changes caused by dif... [more] SP2022-11
pp.41-46
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
11:30
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Implementation of a Lightweight Automatic Speech Recognition System at the Edge
Haotian Tan, Junichi Akita (Kanazawa Univ.)
Automatic speech recognition (ASR) on the cloud has been widely adopted and has demonstrated satisfactory performance. W... [more]
SP, EA, SIP 2020-03-02
13:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Data augmentation for ASR system by using locally time-reversed speech -- Temporal inversion of feature sequence --
Takanori Ashihara, Tomohiro Tanaka, Takafumi Moriya, Ryo Masumura, Yusuke Shinohara, Makio Kashino (NTT) EA2019-110 SIP2019-112 SP2019-59
Data augmentation is one of the techniques to mitigate overfitting and improve robustness against several acoustic varia... [more] EA2019-110 SIP2019-112 SP2019-59
pp.53-58
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] Implementation of a high-accuracy method for automatic fluency scoring of spontaneous English utterances by Japanese learners
Ayano Yasukagawa, Shintaro Ando, Eisuke Konno, Zhenchao Lin, Yusuke Inoue, Daisuke Saito, Nobuaki Minematsu (UTokyo), Kazuya Saito (UCL) EA2019-134 SIP2019-136 SP2019-83
These days, many teachers claim importance of not native-likeness-based but intelligibility-based assessment of pronunci... [more] EA2019-134 SIP2019-136 SP2019-83
pp.189-194
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] A Comparison of Language Models for a Design of Reduced Phoneme Set
Shuji Komeiji, Toshihisa Tanaka (TUAT), Koichi Shinoda (titech) EA2019-152 SIP2019-154 SP2019-101
Language models for a design of reduced phoneme set are compared each other.
The reduction of the phoneme set improves ... [more]
EA2019-152 SIP2019-154 SP2019-101
pp.295-300
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
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
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