Human Centric Information Processing
We are dedicated to researches for understanding human behavior through life log, speech and human interface based on probabilistic model, machine learning, Bayesian statistical inference and compressed sensing. Our final goal is to generate new services for supporting people all over the world.
Faculty
Medical Devices and Materials Engineering Section Human Centric Information Processing
Professor ABE Masanobu
Senior Assistant Professor AIDA Toshiaki
PROJECT
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Medical Devices and Materials Engineering Section
Human Centric Information Processing
Enhancing a Glossectomy Patient’s Speech via Voice Conversion
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Medical Devices and Materials Engineering Section
Human Centric Information Processing
High Quality Speech Synthesis with Emotion and Speaker Individuality by DNN
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Medical Devices and Materials Engineering Section
Human Centric Information Processing
Diagnosis of the invasion depth of gastric cancer by deep neural networks