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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 414  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, SIP, SP, IPSJ-SLP [detail] 2025-03-04
09:30
Okinawa (Okinawa) [Poster Presentation] An Analysis of Speaker Representation for Target-Speaker Speech Processing
Takanori Ashihara, Takafumi Moriya, Shota Horiguchi (NTT), Junyi Peng (BUT), Tsubasa Ochiai, Marc Delcroix, Kohei Matsuura, Hiroshi Sato (NTT)
(To be available after the conference date) [more]
ET 2025-01-11
13:30
Tokyo (Tokyo, Online)
(Primary: On-site, Secondary: Online)
Japanse Language Teaching for Foreign Elementary School Students Using ICT Materials for Pronunciation Learning
Nonoka Kawahara (Hiroshima Univ.), Kazuaki Yoshihara (Kindai Univ.), Junji Ono, Kenji Watanabe (Hiroshima Univ.) ET2024-61
Currently, the number of foreign students and the student who needs Japanese language teaching is increasing
rapidly. ... [more]
ET2024-61
pp.29-36
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] 2024-12-12
14:50
Aichi Nagoya Univ. (Aichi, Online)
(Primary: On-site, Secondary: Online)
[Poster Presentation] Speaker-Discriminative CTC for Multi-Talker Speech Recognition
Asahi Sakuma, Hiroaki Sato, Ryuga Sugano, Tadashi Kumano, Yoshihiko Kawai (NHK), Tetsuji Ogawa (Waseda Univ.) NLC2024-20 SP2024-11
In this paper, we propose a novel method Speaker-Discriminative CTC (SD-CTC) to improve speech recognition accuracy on c... [more] NLC2024-20 SP2024-11
pp.6-11
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] 2024-12-12
14:50
Aichi Nagoya Univ. (Aichi, Online)
(Primary: On-site, Secondary: Online)
Study on Data Creation and Model Construction for Speech Emotion Captioning
Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) NLC2024-21 SP2024-12
In previous studies on speech emotion recognition, the results of the prediction are represented by categorical or dimen... [more] NLC2024-21 SP2024-12
pp.12-17
HCGSYMPO
(2nd)
2024-12-11
- 2024-12-13
Ishikawa The Kanazawa Theatre (Ishikawa) Recognition of Auditory Distance Across Speakers and Languages: Is Physical "Sense of Distance" Universal?
Haruka Murakami (Tamagawa Univ.)
(To be available after the conference date) [more]
EA, EMM, ASJ-H 2024-11-24
16:15
Ishikawa SARAI Wellness House (Ishikawa) [Invited Talk] Contextualized End-to-end ASR Based on Deep Biasing
Yui Sudo (HRI-JP) EA2024-61 EMM2024-100
This paper introduces a retraining-free customization method for end-to-end automatic speech recognition (ASR) models, c... [more] EA2024-61 EMM2024-100
pp.102-106
TL 2024-08-11
11:00
Hyogo Kwansei Gakuin Univ. (Hyogo) An effect of pronunciation training using Automatic Speech Recognition on L2 learners’ listening comprehension
Fumio Ozawa, Manabu Arai, Yumiko Mizusawa (Seijo Univ.) TL2024-12
The current study aims to examine an effect of pronunciation training using Automatic Speech Recognition (ASR) on L2 lea... [more] TL2024-12
pp.24-29
EA 2024-05-22
14:15
Online Online (Online) Why speech enhancement degrades speech recognition performance? -- Analysis of effect of speech enhancement errors on speech recognition performance --
Tsubasa Ochiai (NTT), Kazuma Iwamoto (Doshisha Univ.), Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki (NTT), Shigeru Katagiri (Doshisha Univ.) EA2024-4
Deep learning techniques have dramatically improved the speech enhancement (SE) performance of single-channel SE. Howeve... [more] EA2024-4
pp.20-21
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
10:30
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Multi-task learning with age information model for highly accurate elderly speech recognition.
Shine Takumi, Kinouchi Takahiro, Wakabayashi Yukoh, Kitaoka Norihide (TUT) EA2023-64 SIP2023-111 SP2023-46
The speech recognition of the elderly is less accurate, especially in smart speaker speech recognition, due to aging-rel... [more] EA2023-64 SIP2023-111 SP2023-46
pp.19-24
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
15:45
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
We have developed automatic speech recognition and dialect identification techniques by using COJADS, a corpus of Japane... [more]
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
09:30
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Constructing and Evaluating a Batch Voice Input System for Electronic Medical Records Using Large Language Models
Ryo Maejima, Norihide Kitaoka (TUT) EA2023-99 SIP2023-146 SP2023-81
This study aims to develop an electronic medical record with a voice input interface that lets users input several items... [more] EA2023-99 SIP2023-146 SP2023-81
pp.226-231
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
09:30
Okinawa (Okinawa, Online)
(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
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
09:30
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Evaluation of Automatic Speech Recognition for Deaf and Hard-of-Hearing People by Speaker Adaptation.
Kaito Takahashi, Takahiro Kinouchi, Yukoh Wakabayashi (TUT), Kengo Ohta (NITAC), Akio Kobayashi (Yamato Univ.), Norihide Kitaoka (TUT) EA2023-102 SIP2023-149 SP2023-84
Communication between normal-hearing people and the deaf is generally used sign language, written communication, and spe... [more] EA2023-102 SIP2023-149 SP2023-84
pp.244-249
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
10:40
Okinawa (Okinawa, Online)
(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
In recent years, the application scope of speech recognition AI has expanded, enabling the acquisition of diverse data d... [more] EA2023-105 SIP2023-152 SP2023-87
pp.262-267
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
10:40
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Substitution of Implicit Linguistic Information in Beam Search Decoding Using CTC-based Speech Recognition Models
Tatsunari Takagi, Yukoh Wakabayashi (TUT), Atsunori Ogawa (NTT), Norihide Kitaoka (TUT) EA2023-106 SIP2023-153 SP2023-88
The rise of neural networks in the field of automatic speech recognition has notably improved the accuracy of speech rec... [more] EA2023-106 SIP2023-153 SP2023-88
pp.268-273
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
16:35
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Simulation Evaluation of Speech Detection Based on Distributed Sound-to-Light Conversion Device Blinkies
Satoshi Motoyama, Natsuki Ueno, Masahiro Yasuda (TMU), Yuma Kinoshita (Tokai Univ.), Nobutaka Ono (TMU) EA2023-126 SIP2023-173 SP2023-108
The purpose of this study is speech detection using the distributed sound-to-light conversion device Blinkies. As an ini... [more] EA2023-126 SIP2023-173 SP2023-108
pp.382-387
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
16:35
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Evaluations of Multi-channel Blind Source Separation for Speech Recognition in Car Environments
Yutsuki Takeuchi, Natsuki Ueno, Nobutaka Ono (Tokyo Metropolitan Univ.), Takashi Takazawa, Shuhei Shimanoe, Tomoki Tanemura (MIRISE Technologies) EA2023-127 SIP2023-174 SP2023-109
In car environments, speech recognition is difficult due to various types of noise. For this issue, speech enhancement b... [more] EA2023-127 SIP2023-174 SP2023-109
pp.388-393
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] 2023-12-03
09:30
Tokyo Kikai-Shinko-Kaikan Bldg. (Tokyo, Online)
(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. (Tokyo, Online)
(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. (Tokyo, Online)
(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
 Results 1 - 20 of 414  /  [Next]  
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