Personnel Information


Kobayashi Yosuke

The master's program in charge

Division of Information and Electronic Engineering

The department in charge

Department of Sciences and Informatics

Job title

Assistant Professor

E-mail Address

E-mail address

Research field 【 display / non-display

  • Perceptual information processing

  • Architectural environment/Equipment

  • Cognitive science

  • Communication/Network engineering

Keywords for Research Field 【 display / non-display

  • Acoustics

  • Speech Information Processing

  • Auditory Information Processing

  • Applied Machine Learning

Graduate school・Graduate course, etc. 【 display / non-display

  • Yamagata University

    2013.03,Doctoral program,Graduate School of Science and Engineering,Electrical Engineering and Informatics,Completed,Japan

Degree 【 display / non-display

  • Doctor of Engineering

Career 【 display / non-display

  • Technical staff. Faculty of Engineering, Yamagata University, Yamagata, Japan

    2013.04.01 ~ 2014.03.31

  • Assistant Professor. Department of Electrical and Computer Engineering, National Institute of Technology, Miyakonojo College, Japan.

    2014.04.01 ~ 2016.03.31

Academic Society 【 display / non-display

  • The Institute of Electronics, Information and Communication Engineers

  • The Acoustical society of Japan

  • The Institute of Electrical Engineers of Japan

  • The Institute of Electrical and Electronics Engineers

  • Information Processing Society of Japan

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Academic prize 【 display / non-display

  • 1ビットオーディオコンソーシアム 2008年 技術賞


  • Student Prize

    2013.09.26,Acoustical Society of Japan

  • IEEJ Tohoku section prize

    2014.04.01,IEEJ TOHOKU

  • Young researcher prize

    2015.11.01,IEICE Kyusyu

  • 電気学会優秀論文発表賞



System development that focuses on speech intelligibility

Purpose of Research

Measurement and control of speech quality using machine learning technology.

Summary of Research

Quality of speech systems are determined by a psychological index. For this reason, high-cost subjective evaluation is required. We propose to support development of speech system by reproducing human psychological experiments with machine learning technology.

Research Content

Features / Benefits of Research

1.Point of research 2.Research of novelty
3.Primacy of Technology 4.Situation of patent-related

Papers 【 display / non-display

  • Listening difficulty estimation model using short-time objective intelligibility measure for outdoor public address systems

    Keita Noguchi, Yosuke Kobayashi, Jay Kishigami, Kiyohiro Kurisu,Acoustical Science and Technology,vol.41,(1),(p.420 ~ 422),2020.01

  • Japanese speech intelligibility estimation and prediction using objective intelligibility indices under noisy and reverberant conditions

    Yosuke Kobayashi, Kazuhiro Kondo,Applied Acoustics,vol.156,(15),(p.327 ~ 335),2019.12

  • 異常洪水時のダム貯水位予測に用いる機械学習手法の比較

    坂本莉子, 中津川誠, 小林洋介,土木学会論文集B1(水工学),vol.75,(2),(p.I_85 ~ I_90),2019.11

  • ランダムフォレスト法に基づく大河川の低頻度洪水の水位予測に関する研究

    坂本莉子, 中津川誠, 小林洋介,土木学会論文集B1(水工学),vol.74,(5),(p.1375 ~ 1380),2018.11

  • 機械学習法を用いた釧路湿原の植生と地下水位の関係の分析

    佐久間寛樹, 中津川誠, 小林洋介,土木学会論文集B1(水工学),vol.74,(5),(p.367 ~ 372),2018.11

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International conference proceedings 【 display / non-display

  • Comparison of STOI-type Intermediate Feature for Listening Difficulty Rating Prediction Model

    Keita Noguch, Yosuke Kobayashi, Jay Kishigami, and Kiyohiro Kurisu,Proc. The 8th IEEE Global Conference on Consumer Electronics (GCCE 2019),(p.885 ~ 886),2019.10,Osaka

  • Prototype of Farm Environment Sensing System for State Estimation of Agricultural Crops

    Hiromu Watanabe, Yosuke Kobayashi, Tatsuro Horie and Kazuhiko Sato,Proc. The 8th IEEE Global Conference on Consumer Electronics (GCCE 2019),(p.322 ~ 323),2019.10,Osaka

  • Encoding Content-Based Similarity in IPFS Pointer Names

    Ryota Nagaoka, Jay Kishigami and Yosuke Kobayashi,Proc. The 8th IEEE Global Conference on Consumer Electronics (GCCE 2019),(p.1142 ~ 1144),2019.10,Osaka

  • Mobile Leaf Identification System using CNN applied to plants in Hokkaido

    Tatsuhiro Akiyama, Yosuke Kobayashi, Yuichi Sasaki, Kaori Sasaki, Takashi Kawaguchi and Jay Kishigami,Proc. The 8th IEEE Global Conference on Consumer Electronics (GCCE 2019),(p.333 ~ 334),2019.10,Osaka

  • Comparison of the Number of Training Data for Pix2Pix Voice Conversion System

    Hirokazu Akadomari, Yuhi Sato,and Yosuke Kobayashi,Proc. The 8th IEEE Global Conference on Consumer Electronics (GCCE 2019),(p.864 ~ 865),2019.10,Osaka

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Editorial and Commentary 【 display / non-display

  • Development of blind intelligibility estimation method for outdoor PA system.

    小林洋介,Sound,(31),(p.6 ~ 9),2016

Research reports 【 display / non-display

  • STOI型客観了解度指標を用いた屋外拡声音の聴き取りにくさ予測モデルの評価

    野口啓太, 小林洋介, 岸上順一, 栗栖清浩,電子情報通信学会技術研究報告,vol.119,(34),(p.71 ~ 78),2019.12

  • 音名を数字に置換する譜面変換アプリの紹介


  • 屋外拡声品質予測モデルの中間特徴量の検討

    野口 啓太 , 小林 洋介 , 岸上 順一 , 栗栖 清浩 ,情報処理学会研究報告(MUS),vol.2019-MUS-123,(53),(p.1 ~ 4),2019.06

  • 機械学習を用いた北海道内河川水位予測システムの開発


  • 機械学習を用いた屋外拡声器の品質予測

    小林洋介,太田健吾,公益財団法人 人工知能研究振興財団 人工知能研究成果発表会 資料,2018.09

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Presentaion at conference, meeting, etc. 【 display / non-display

  • 中間特徴量を用いた屋外拡声音評価システムの実装

    野口啓太, 小林洋介, 栗栖清浩,日本音響学会2020年春季研究発表会,日本音響学会2020年春季研究発表会講演論文集,(p.535-536),2020.03.16,埼玉県さいたま市,日本

  • 原音予測モデルを利用した客観音声了解度指標の提案

    小林洋介, 近藤和弘,日本音響学会2020年春季研究発表会,日本音響学会2020年春季研究発表会講演論文集,(p.541-542),2020.03.16,埼玉県さいたま市,日本

  • pix2pix話者変換を用いた狭帯域音声の高域補間

    小林洋介, 山部匠, 野口啓太, 赤泊寛和,日本音響学会2020年春季研究発表会,日本音響学会2020年春季研究発表会講演論文集,(p.1198-1199),2020.03.16,埼玉県さいたま市,日本

  • CNN による船舶航行音による船種分類に向けたデータ拡張法の検討

    山口晴己, 武藤憲司, 小林洋介,日本音響学会2020年春季研究発表会,日本音響学会2020年春季研究発表会講演論文集,(p.383-384),2020.03.16,埼玉県さいたま市,日本

  • Research on the prediction of dam inflow during floods using Elastic Net

    Tomohiro Sando, Makoto Nakatsugawa and Yosuke Kobayashi, Riko Sakamoto,Joint Seminar on Environmental Science and Disaster Mitigation Research 2020 ,Abstract of Joint Seminar on Environmental Science and Disaster Mitigation Research 2020 ,(p.96-97),2020.03.06

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Class subject in charge 【 display / non-display

  • 情報システム学実験


  • 情報工学演習C


  • 情報システム学総合演習コンピュータ知能学総合演習


  • ビジネスシステムデザイン基礎演習


  • コンピュータ知能学実験


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