Publications

Journals

• Singing technique analysis with correspondence to musical score on imitative singing of popular music,
  Yuya Yamamoto, Tomoyasu Nakano, Masataka Goto, Hiroko Terasawa Journal of IPSJ. Vol 64, No. 10 IPSJ Journal Selected Paper
  pdf

Peer-reviewed papers

• Wavetable Synthesis Using CVAE for Timbre Control Based on Semantic Label,
  Tsugumasa Yutani, Yuya Yamamoto, Shuyo Nakatani, Hiroko Terasawa. APSIPA ASC 2024.
  abs

• Toward Leveraging Pre-Trained Self-Supervised Frontends for Singing Voice Understanding: Case Studies on Three Tasks,
  Yuya Yamamoto. APSIPA ASC 2023.
  pdf

• PrimaDNN’: A Characteristics-aware DNN customization for singing technique detection,
  Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, EUSIPCO 2023.
  pdf

• Human-In-The-Loop Chord Progression Generator With Generative Adversarial Network,
  Yoshiteru Matsumoto, Hiroyoshi Ito, Hiroko Terasawa, Yuya Yamamoto, Yuzuru Hiraga, Masaki Matsubara APSIPA ASC 2022.
  

• Analysis and detection of singing techniques in repertoires of J-POP solo singers,
  Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, ISMIR 2022. ISMIR student author grant
  pdf

• Deformable CNN and Imbalance Aware Feature Learning for Singing Technique Classification,
  Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, Interspeech 2022.
  pdf

• Investigating Time-Frequency Representations for Audio Feature Extraction in Singing Technique Classification,
  Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, Yuzuru Hiraga, APSIPA ASC 2021.
  pdf

Extended abstracts

• A DBN-based regularization approach for training postprocessing-free joint beat and downbeat estimator,
  Yiming Wu, Yuya Yamamoto, Shunya Ishikawa. ISMIR-LBD 2024.
  

Non peer-reviewed papers

• Exploring Pretrained Self-supervised Frontends for Singing Voice Identification Tasks,
  Yuya Yamamoto SIGMUS-137, 2023.

• Semantic Timbre Control of Wavetable Synthesis based on CVAE,
  Tsugumasa Yutani, Yuya Yamamoto, Shuyo Nakatani, Hiroko Terasawa, SIGMUS-137, 2023. Sound Symposium (音学シンポジウム) Student Excellence Presentation Award

• Towards computational analysis of singing technique for music information retrieval : A progress report of building dataset and statistical analysis, Yuya Yamamoto, Daichi Moriyama, Juhan Nam, Hiroko Terasawa, JPTW 2021.

• Analysis of Frequency, Acoustic Characteristics, and Occurrence Location of Singing Technique using Imitated J-Pop Singing Voice,
  Yuya Yamamoto, Tomoyasu Nakano, Masataka Goto, Hiroko Terasawa, Yuzuru Hiraga, SIGMUS-132, 2021. (in Japanese) Best presentation award (Best research) IPSJ Yamashita SIG Research Award

• A Comparison of Hand-crafted Feature and Deep-extracted Feature on Singing Technique Classification,
  Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, Yuzuru Hiraga, SIGMUS-130, 2021. (in Japanese)

• Towards Assessment of Singing Difficulty Level of Japanese Popular Songs,
  Yuya Yamamoto, Yuzuru Hiraga, SIGMUS-124, 2019. (in Japanese), Student encouragement award

• Singing Difficulty of Japanese Popular Songs: Subjective Evaluation and their Relation to Musical Features,
  Yuya Yamamoto, Yuzuru Hiraga, JSMPC(1), 2019. (in Japanese)

Dissertations

• A computational approach to analysis and detection of singing techniques Yuya Yamamoto, Ph.D. Thesis, Doctoral Programs in Informatics, Graduate School of Comprehensive Human Sciences, University of Tsukuba. PDF Slide