Researcher Database

（Last updated : 2025-06-27 15:27:05）　

NISHIURA Takanobu

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

Title / Position Professor

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Other Affiliations
1.	Graduate School of Information Science and Engineering
2.	Kinugasa Research Organization Art Research Center

Academic background
1.	1999/04/01～2001/09/30	Doctorial Course │ Nara Institute of Science and Technology │ Completed Ph.D. (Engineering)

Business career
1.	2022/04/01 ～	Associate Fellow │ │ Ritsumeikan Advanced Research Academy (RARA)

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

Subject of research
1.	Study on Analysis/Understanding/Reproduction/Composition of Sound Environment

Research summary
A research on analysis, recognition, reproduction and synthesis of sound environment I am engaged in the integrated research on analysis, recognition, reproduction and synthesis of sound environment to construct a sound environment where people can live comfortably. My main research includes reproduction and synthesis of sound environment such as "Sound Image Planetarium", "Audio Spot" and "Surround Chair", and analysis and recognition of sound environment such as "Sound Field Transcription", "Acoustic Sensor" and "Sound Source Search and Emphasis".

Present specialized field
Intelligent Informatics, Media Informatics/Data Base (Keyword：Acoustics Acoustic Science Acoustic Engineering Acoustic Signal Processing)

Books
1.	2011/06	Suitable Reverberation Criteria for Distant-Talking Speech Recognition │ ,pp.Book 1

Papers
1.	2025/03	DNN-based phase estimation for online speech enhancement │ Acoustical Science and Technology │ 46 (2),pp.186-190
2.	2024/12	Enhanced Virtual Sound Source Construction Based on Wave Field Synthesis Using Crossfade Processing with Electro-dynamic and Parametric Loudspeaker Arrays │ Applied Sciences │ 14 (24)
3.	2024/11	Comfortable Sound Design Based on Auditory Masking with Chord Progression and Melody Generation Corresponding to the Peak Frequencies of Dental Treatment Noises │ Applied Sciences │ 14 (22)
4.	2024/11	Sound-Field Reproduction Based on Virtual Early Reflections Using Parametric and Electrodynamic Loudspeakers │ Journal of Signal Processing │ 28 (6),pp.267-275
5.	2024/10	Joint Deep Neural Network for Single-channel Speech Separation on Masking-based Training Targets │ IEEE Access │ 12,pp.152036-152044
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Academic conference presentation
1.	2025/03/02	Comfortable Sound Design Based on a Dynamic Programming Matching Method for Aligning Chord Progression Patterns to the Peak Frequency Sequences of Dental Treatment Sounds
2.	2025/02/27	Phase-aware Audio Super-Resolution using a Two-Stage DNN model
3.	2025/02/27	Singing Vocal Extraction from Music Signal Based on U-Net Using Random-shift-mixed-data Augmentation
4.	2024/12	Augmented sound-image perception using pre-virtual-leading ultrasounds based on precedence effect
5.	2024/12	Deep-Learning-Based Speech Enhancement with Rough-Focused Optical Laser Microphone by Reconstructing Complex Spectrum
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Winning science prize
1.	2017/09	Culture and Computing 2017 Best Poster Award, Culture and Computing 2017 (Sound Reproduction by Concatenative Synthesis for Japanese Traditional Music Box)

Achievements of joint.Funded research
1.	2019/07 ～ 2020/06	Sound Feel/Profiling Research │ Consigned Research by Company
2.	2018/07 ～ 2019/06	Sound Feel/Profiling Research │ Consigned Research by Company
3.	2017/08 ～ 2018/06	Sound Feel/Profiling Research │ Consigned Research by Company
4.	2015/06 ～ 2016/05	Research Optimized Reverberation Characteristics of Elastic Spheres │ Consigned Research by Company
5.	2013/06 ～ 2015/05	Research Optimized Reverberation Characteristics of Elastic Spheres │ Consigned Research by Company
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Acquisition patent
1.	2010/03	Microphone Array and Method of Use （72-1329）