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News
News
June 2022: A paper has been accepted in Interspeech 2022.
May 2022: As a visiting researcher, I will visit KAIST from August to December 2022. Adviser: Prof. Juhan Nam.
September 2021: Prized Best paper award at IPSJ SIGMUS.
August 2021: A paper has been accepted in APSIPA ASC 2021.
Yuya (Match) Yamamoto
Yuya (Match) Yamamoto
I'm a Ph.D student at University of Tsukuba, in Japan.
I'm a member of Lab. for Sound and People with Computing.
My research interests lie in music information retrieval and singing voice.
My dream is to make singing more fun.
mail: s2130507 [at] s.tsukuba.ac.jp
Twitter: @yamatchy
Github: https://github.com/yamathcy
facebook: https://www.facebook.com/profile.php?id=100015677413525
Education
Education
Doctor in Informatics, University of Tsukuba (April 2021~)
Supervisor: Prof. Nobutaka Suzuki and Associate Prof. Hiroko Terasawa.
M.E in Informatics, University of Tsukuba (April 2019~March 2021)
Supervisor: Prof. Yuzuru Hiraga and Assistant Prof. Hiroko Terasawa.
Prized Dean’s commendation.
B.E in Media Science and Engineering, University of Tsukuba (April 2017~March 2019)
Supervisor: Prof. Yuzuru Hiraga
Skill
Skill
Advanced (in Japanese, "Chotto dekiru".)
Python, PyTorch, Keras, Flask, R, Unity(C#)
Intermediate（in Japanese, "Nanmo wakaran".）
AWS, Django, C/C++, Matlab, JavaScript, Stan
Basic（in Japanese, "Kanzen ni rikai shita".）
Kotlin, Vue.js, PHP, Ruby, Docker, React
Language
Language
Japanese (native)
English (basic knowledge)
Research Projects
Research Projects
Singing difficulty evalution
Singing difficulty evalution
Investigated singing difficulty of popular song. Regression analysis to calculate difficulty score, Cluster analysis to interpret how difficult.
2018~2019
Singing technique analysis
Singing technique analysis
Detected singing technique (vibrato, portamento, vocal fry, whisper, etc...) by DNN methods.
2019~
Music perception of elderly people
Music perception of elderly people
This project is collaborate work with Mayumi Mizuno and Hiroko Terasawa.
To improve QOL of elderly people by music, we investigated how they listen music.
2020~
Singing style analysis and buliding corpus
Singing style analysis and buliding corpus
Building an annotation collection of singing technique.
2021~
Work Experience
Work Experience
CA Techkids
October 2017 - August 2021. Lecturer to elementary school student
February 2018 - September 2021. Unity Engineer
POL
May 2020 - October 2020. Researcher
Sigboost (Internship)
February 2022 -March 2022. Development of audio annotation tool (JavaScript, Docker, etc...)
Research Collaboration
Research Collaboration
AIST Media Interaction Group Research internship (in August-September 2019, April 2021~)
Worked on singing voice analysis.
Mentor: Tomoyasu Nakano, Masataka Goto.
KAIST （in July 2020-）
Worked on computational analysis on musical expression.
Mentor: Juhan Nam.
Awards
Awards
2021.09 IPSJ special interest group on music and computer (SIGMUS) Summer Symposium Best Presentation Award (Best Research)
2021.03 Graduate School of Library, Information and Media Studies, University of Tsukuba. Dean's Award (4/44)
2019.08 IPSJ special interest group on music and computer (SIGMUS) Summer Symposium Student Research Encouragement Award
Grant
Grant
2021.10- Support for Pioneering Research Initiated by the Next Generation; SPRING
SPRING Fellowship Qualified Students (Class 1; top 25 percentile, 500, 000 yen per year.)
"Establishing Foundation of Music Technology towards Analyzing Singing Style based on Singing Technique."
Publication
Publication
Conference paper (Peer-reviewed)
Conference paper (Peer-reviewed)
Deformable CNN and Imbalance Aware Feature Learning for Singing Technique Classification
Yuya Yamamoto, Juhan Nam and Hiroko Terasawa.
Accepted to Interspeech 2022.Investigating Time-Frequency Representations for Audio Feature Extraction in Singing Technique Classification
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, and Yuzuru Hiraga.
Proceedings of the 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2021 (accepted)
Domestic (Without peer-review)
Domestic (Without peer-review)
Singing Difficulty of Japanese Popular Songs: Subjective Evaluation and their Relation to Musical Features
Yuya Yamamoto, Yuzuru Hiraga. Japanese Society for Music Perception and Cognition (JSMPC), JSMPC2019(1)-1 pp.1-6, 2019. (in Japanese)
Towards Assessment of Singing Difficulty Level of Japanese Popular Songs
Yuya Yamamoto, Yuzuru Hiraga. The Special Interest Group Notes of IPSJ (MUS), Vol.2019‐MUS‐124, No.9, 2019. (in Japanese)
A Comparison of Hand-crafted Feature and Deep-extracted Feature on Singing Technique Classification.
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, Yuzuru Hiraga. The Special Interest Group Notes of IPSJ (MUS), Vol.2021‐MUS‐130, No.30, 2021. (in Japanese)
Analysis of Frequency, Acoustic Characteristics, and Occurrence Location of Singing Technique using Imitated J-Pop Singing.
Yuya Yamamoto, Tomoyasu Nakano, Masataka Goto, Hiroko Terasawa, Yuzuru Hiraga. The Special Interest Group Notes of IPSJ (MUS), Vol.2021‐MUS‐132, No.22, 2021. (in Japanese)
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