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Graduate School of Science and Engineering
Information and Computer Science

Intelligent Mechanism Laboratory

Percptual, Cognitive and Emotional Processing of Auditory and Visual Information


Marie Katsurai

[Assistant Professor]
Telephone : 81-774-65-7687

Office : KE-210
Database of Researchers

Research Contents

<1> Speech, Language, Music and Hearing
Spoken Language Processing:
Human Interface for a Voice-controlled TV system: Design of Language Model & Word Set
Noise Reduction for Speech Recognitioin
Music Information Processing:
Automatic Scoring of Free Songs
Training Systems for Playing Piano, Guitar and Brass Instrument
Tension Voicing based on Sonority in Music Context
Auditory Percption and Cognition:
Basic research in Pitch perception
Cognitive Model of Music Composition
Signal Processing:
Estimating Direction of Arrival by a 7-Element Array on 3-D Orthogonal Axes Blind Source Separation by Independent Component Analysis
Neuro-physiological study Uing NIRS
<2> Vision
Natural Patterns:
Feature Analysis of Natural Patterns
Mechanism of Crypsis in Cryptic Coloration of CuttleFish
Texture Cognition:
What dose texture tells us?
Texture Reproduction from the Feature Quantity of Texture
Senso-Emotional Information Processing:
Mathematical Analysis of Texture Features in Paintings
Anisotropic Evaluation of Mmodern Abstract Paintings

Research Topics

Multimedia Understanding: Content, Context, and Sentiment
With the popularity of image-capturing devices and the success of Web 2.0 applications, people have seen a dramatic increase in their ability to collect digital information in various situations and share them on the Web. To develop a system that automatically recognizes the content of multimedia data, we study the complementary use of multi-modal features (e.g., visual features and textual features). We also investigate how to automatically understand images’ semantics, context, and sentiment.
Knowledge Acquisition From Academic Databases
Discovering hot research topics or active research groups from academic databases can contribute to grasping scientific technology trends or to promoting collaborative researches. We, in cooperation with National Institute of Informatics, develop new techniques for analyzing CiNii Articles, the largest academic database in Japan. Specifically, we study the automatic construction of researcher networks based on research topics’ similarities. Visualizing such networks can provide us with new findings about the range of researchers’ interests or changes of research themes over time.


  • Spoken Language
  • Music
  • Signal Processing
  • Auditory Perception
  • Visual Perception
  • Auditory Cognition
  • Visual Cognition