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Full-Text Articles in Arts and Humanities
For The Love Of Music: Yuri Lily Funahashi Shares The Gift Of Collaboration, Mareisa Weil
For The Love Of Music: Yuri Lily Funahashi Shares The Gift Of Collaboration, Mareisa Weil
Colby Magazine
A virtuoso is quietly going about her business in the classrooms of the Bixler Art and Music Center. Yuri Lily Funahashi, accomplished chamber musician, assistant professor, and Music Department co-chair, is strengthening and inspiring her students’ relationship with music.
Convolutional Audio Source Separation Applied To Drum Signal Separation, Marius Orehovschi
Convolutional Audio Source Separation Applied To Drum Signal Separation, Marius Orehovschi
Honors Theses
This study examined the task of drum signal separation from full music mixes via both classical methods (Independent Component Analysis) and a combination of Time-Frequency Binary Masking and Convolutional Neural Networks. The results indicate that classical methods relying on predefined computations do not achieve any meaningful results, while convolutional neural networks can achieve imperfect but musically useful results. Furthermore, neural network performance can be improved by data augmentation via transposition – a technique that can only be applied in the context of drum signal separation.