School of Information and Data Sciences, Nagasaki University

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Research Activities

Staff Introduction

Kotaro SONODA
教員顔写真
Position・Degree
  • Institute of Integrated Science and Technology, Assistant Professor
  • School of Information and Data Sciences, Assistant Professor
  • Graduate school of engineering, Assistant Professor
  • Ph.D. on Information Sciences
Email
sonodacis.nagasaki-u.ac.jp
Researcher number
90415852
Date of arrival
Areas of Research
Acoustic Information Hiding and Enrichment, Human Auditory Information Processing, Acoustic Signal Processing
CV
2005.3
Ph.D. on Info. Sci. given by Tohoku University
2005.4 -2009.10
Expert Researcher, Fundamental Security Group team, Information National Institute of Information Communication and Technology
2009.10-
Assistant Prof. on Graduate school of Engineering, Nagasaki University
2013.3 -2014.3
Adam Mickiewicz University(Poland), Institutes of Acoustics, Guest Researcher
2014.12-
Assistant Prof. on Medical-Engineering Hybrid Professional Development program, Biomedical sciences, Nagasaki University

Research activities

 Fundamental:Human Auditory Information Processing, Acoustic Information Coding
There are some sounds that are clearly different in waveform when recorded with a microphone, but when listened to with the ear, it is difficult to notice the difference.
  • What kind of sound is it (or can it be made artificially)?
  • What is the mechanism that prevents you from noticing the difference?
    • Is this the limit of my hearing?
    • Is the ear receiving the sound but creating an illusion in its later stages of brain processing?
研究活動1
 Applied:Sound Enrichment, Sound Liveness Identification
Information Hiding, Digital Watermarking, Steganography
  • Create sounds with embedding subliminal digital information. Embedded Information is detectable by machine microphone while human can’t notice it.
  • Sound Enrichment, Side-channel.
  • Information Security and Privacy.
Machine aided Sound Liveness Identification
  • Due to the development of sound synthesis technology, it is not possible for the human ear to distinguish artificial spoofing of natural sounds.
  • We need to develop a technique to detect artificial spoofing of natural sounds and to identify the liveness of the natural sounds.

Educational activities

Class
Information and Data Sciences:
Introduction to Programming, Practice in Software Programming II, Audio and Speech Engineering

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