Faculty - YAMAMOTO Kazumasa |

（Last updated : 2023-11-22 22:05:54）

YAMAMOTO Kazumasa

Department / Course

College of Engineering Department of Computer Science

Graduate School of Engineering Department of Computer Science

Job Professor

Belonging society
	Asia Pacific Signal and Information Processing Association (APSIPA)

Present specialized field
Intelligent informatics, Intelligent robotics, Perceptual information processing

Book and thesis
Papers	A new speech corpus of super-elderly Japanese for acoustic modeling Computer Speech & Language 77,pp.101424-101424 (Co-authored) 2023/01
Papers	A Corpus-Based Analysis Of Age-Related Changes In The Acoustic Features Of Elderly To Super Elderly Speech 2022 25th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA) (Co-authored) 2022/11
Papers	Correlation of acoustic features of pitch/rhythm/power and perceptual impressions after singing training for people with dysarthria Acoustical Science and Technology 43 (1),pp.22-31 (Co-authored) 2022/01/01
Papers	Investigation of Various Multi-task Learning for End-to-End Multi-Language Speech Recognition Model 日本音響学会研究発表会講演論文集(CD-ROM) 2020
Papers	Discriminative Learning of Filterbank Layer within Deep Neural Network Based Speech Recognition for Speaker Adaptation IEICE Transactions on Information and Systems E102.D (2),pp.364-374 (Co-authored) 2019/02/01
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Academic conference presentation
2017/09/11	大規模データベースCSJを用いたDNNに基づくフィルタバンク学習の評価とフィルタ関数の比較 (日本音響学会研究発表会講演論文集(CD-ROM))
2017/03/01	DNNに基づくフィルタバンクの再学習による話者クラス適応の検討 (日本音響学会研究発表会講演論文集(CD-ROM))
2017/03/01	ドメイン間遷移を持つ雑談音声対話システムの検討 (日本音響学会研究発表会講演論文集(CD-ROM))
2017/03/01	講義スライド中の文章・図表を対象とする説明箇所自動推定手法の検討 (日本音響学会研究発表会講演論文集(CD-ROM))
2017/03/01	音声感情のコンテキスト情報を考慮したラベリングと認識手法の検討 (日本音響学会研究発表会講演論文集(CD-ROM))
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Research topic, funded research, and department laboratory expense
2007 ～ 2009	Study on Speech Enhancement Based on Distorted Speech Corpora in the Real-world 基盤研究(B)
2006 ～ 2008	Development of speech recognition system which can recognize slow speaking utterance 若手研究(B)
2003 ～ 2004	Hands free speech recognition method based on auditory characteristics 基盤研究(C)
2000 ～ 2001	Development of robust acoustic model for hands-free speech recognition 基盤研究(C)

Winning science prize
2013/05	The Institute of Electronics, Information and Communication Engineers Best Paper Award (Hidden Conditional Neural Fields for Continuous Phoneme Speech Recognition)