4 citations · 4 across the 5 of their papers we have counts for
5 papers
Wavetable Synthesis Using CVAE for Timbre Control Based on Semantic Label
Tsugumasa Yutani, Yuya Yamamoto, Shuyo Nakatani +1
Synthesizers are essential in modern music production. However, their complex timbre parameters, often filled with technical terms, require expertise. This research introduces a me…
PrimaDNN': A Characteristics-aware DNN Customization for Singing Technique Detection
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa
Professional vocalists modulate their voice timbre or pitch to make their vocal performance more expressive. Such fluctuations are called singing techniques. Automatic detection of…
Toward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies
Yuya Yamamoto
Automatic singing voice understanding tasks, such as singer identification, singing voice transcription, and singing technique classification, benefit from data-driven approaches t…
Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa
In this paper, we focus on singing techniques within the scope of music information retrieval research. We investigate how singers use singing techniques using real-world recording…
Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification
Yuya Yamamoto, Juhan Nam, Hiroko Terasawa
Singing techniques are used for expressive vocal performances by employing temporal fluctuations of the timbre, the pitch, and other components of the voice. Their classification i…