Staff Introduction

: 薗田光太郎 Kotaro SONODA

- Email
kotaronagasaki-u.ac.jp

- 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

- Specialized Field Acoustic Information Hiding and Enrichment, Human Auditory Information Processing, Acoustic Signal Processing

- External Links researchmap
Laboratory

CV

2005.3	Ph.D. in Information Science, Tohoku University
2005.4 – 2009.10	Expert Researcher, Fundamental Security Group Team, National Institute of Information and Communications Technology
2009.10 –	Assistant Professor, Graduate School of Engineering, Nagasaki University
2013.3 – 2014.3	Adam Mickiewicz University (Poland), Institute of Acoustics, Guest Researcher
2014.12 –	Assistant Professor, Medical-Engineering Hybrid Professional Development Program, Graduate School of 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?

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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