Researcher Database

（Last updated : 2024-03-22 13:03:28）

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FUKUMORI TAKAHIRO

Department / Course College of Information Science and Engineering Department of Information Science and Engineering

Title / Position Lecturer

Other Affiliations
1.	Graduate School of Information Science and Engineering

Academic background
1.	2015/03 Degree Acquisition	│ Ritsumeikan University Doctor of Engineering
2.	～2006/03	│ Ritsumeikan Uji Senior High School │ Graduated
3.	～2010/03	Department of Media Technology │ College of Information Science and Engineering │ Ritsumeikan University │ Graduated
4.	～2012/03	Doctoral Program (1st Semester) │ Advanced Information Science and Engineering Major │ Graduate School of Science and Engineering │ Ritsumeikan University │ Completed
5.	～2015/03	Doctoral Program (2nd Semester) │ Information Science and Engineering Major │ Graduate School of Information Science and Engineering │ Ritsumeikan University │ Completed

Business career
1.	2016/09 ～ 2021/03	Part-time Lecturer │ │
2.	2015/04/01 ～ 2020/03/31	Assistant Professor │ College of Information Science and Engineering │ Ritsumeikan University

Committee and society
1.	2019/01 ～ 2020/12	IEEE Kansai Chapter Technical Program Committee Secretary
2.	2015/04 ～ 2018/03	大学院キャリアパス推進室博士人材リーダー養成プログラムコーディネーター

Research activities
1.		Institute of Electrical and Electronics Engineers (IEEE)
2.		Information Processing Society of Japan
3.		The Institute of Electronics, Information and Communication Engineers (IEICE)
4.		Acoustical Society of Japan

Research summary
To realize a robot audition that is equivalent to or better than a human audition, I am currently working on research to estimate the speech type. [Research topic 1] Shouted speech detection Shouted speech is one of the helpful pieces of information that indicates a critical situation. I am currently working on 1. detecting shouted speech without the influence of speech position or noise and 2. scoring the degree of shouting in speech. [Research topic 2] Prediction of speech intelligibility The intelligibility of speech is affected by how and where the speaker utters. I am currently working on predicting speech intelligibility and factors that decrease intelligibility. [Research topic 3] Speech emotion recognition Human speech contains emotions such as joy, anger, sadness, and sorrow. I am currently working on 1. the simultaneous recognition of multiple emotions in speech and 2. eliminating variations in the expression of emotions among speakers.

Present specialized field
Perceptual information processing (Keyword：Speech information processing, Speech type recognition, Noise Reduction)

Books
1.	2019/12	文化情報学事典 │ ,pp.455-463 (Co-authored)
2.	2011/06	Speech Technologies / Book 1 "Suitable Reverberation Criteria for Distant-Talking Speech Recognition │ ,pp.169-184 (Co-authored)

Papers
1.	2022/05/23	Onoma-to-wave: Environmental sound synthesis from onomatopoeic words │ Asia Pacific Signal and Information Processing Association (APSIPA) Transactions on Signal and Information Processing │ 11 (1) (Co-authored)
2.	2022/05/01	Evaluation metric for sound event detection considering severity of misdetections │ 日本音響学会論文誌 │ 78 (5),pp.217-226 (Co-authored)
3.	2022/01/13	Optical Laser Microphone for Human-Robot Interaction: Speech Recognition in Extremely Noisy Service Environments │ Advanced Robotics │ 36 (5-6),pp.304-317 (Co-authored)
4.	2018/09	Single-Channel Speech Enhancement with Phase Reconstruction Based on Phase Distortion Averaging │ IEEE Transactions on Audio, Speech and Language Processing │ 26 (9),pp.1559-1569 (Co-authored)
5.	2018/07	Sound Image Reproduction based on Weighted Room Impulse Responses with Head-enclosed Back-surround Loudspeaker-array │ Journal of Signal Processing │ 22 (4),pp.193-197 (Co-authored)
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Academic conference presentation
1.	2023/11/03	Universal Sound Separation Using Replay-Based Data Sampling in Incremental Learning (Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC))
2.	2023/11/02	Investigating the Effectiveness of Speaker Embeddings for Shout Intensity Prediction (Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC))
3.	2023/08/22	Speech Emotion Recognition by Estimating Emotional Label Sequences with Phoneme Class Attribute (Annual Conference of the International Speech Communication Association (INTERSPEECH))
4.	2023/06/24	分離歪みと再混合誤差を考慮した環境音分離 (電子情報通信学会技術研究報告)
5.	2023/06/23	音素クラス属性を考慮した感情ラベル列の推定による音声感情認識 (電子情報通信学会技術研究報告)
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Other research achievements
1.	2018/03/30 ～ 2018/03/30	研究成果（叫び声検出）に関する新聞掲載 (読売新聞・朝刊)

Winning science prize
1.	2019/07	株式会社リバネス第4回滋賀テックプラングランプリ企業賞（滋賀銀行賞）
2.	2019/03	日本音響学会日本音響学会第45回粟屋潔学術奨励賞
3.	2019/03	日本音響学会日本音響学会第6回学会活動貢献賞
4.	2015/03	電子情報通信学会学会誌D 電子情報通信学会学会誌D 学生論文特集秀逸論文認定 (PESQと室内音響指標を用いた雑音・残響指標NRSR-PAに基づく雑音・残響下音声認識性能の予測)
5.	2012/03	電気通信普及財団電気通信普及財団第27回テレコムシステム技術学生賞入賞 (室内音響指標を用いた残響指標RSR-Dnに基づく残響下音声認識性能の予測)
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Grants-in-Aid for Scientific Research -KAKENHI-
1.	2019/04 ～ 2023/03	Audio-spot design on soundscape │ Grant-in-Aid for Scientific Research (B)
2.	2016/04 ～ 2019/03	System development of critical situation detection based on sound environment estimation │ Grant-in-Aid for Young Scientists (B)

Teaching achievements

●Other Special Instructions about Teaching Activities

1.	2019/09 ～ 2020/03	龍谷大学非常勤講師（数値計算基礎・理工学部2年次対象）
2.	2019/06 ～ 2019/06	高大連携講義：立命館慶祥高等学校 SSH「科学実験」遠隔授業講師
3.	2018/09 ～ 2018/10	高大連携講義：立命館守山高校SSH授業「土曜講座：科学研究Ⅱ（情報科学探究）」講師
4.	2018/09 ～ 2019/03	龍谷大学非常勤講師（数値計算基礎・理工学部2年次対象）
5.	2018/06 ～ 2018/06	高大連携講義：立命館慶祥高等学校 SSH「科学実験」遠隔授業講師
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E-Mail Address

Department laboratory expense researcher number
60755817

researchmap Researcher code
7000013335