
Ethan Manilow
Ethan is a Research Scientist on the Magenta Team, where he works on making machine learning systems that can listen to and understand musical audio in an effort to make tools that can better assist artists. He did his PhD at Northwestern University and earned BS in Physics and a BFA in Jazz Guitar at the University of Michigan. He currently lives in Chicago, where he spends his free time smiling at dogs and fingerpicking his acoustic guitar.
Research Areas
Authored Publications
Sort By
Google
MIDI-DDSP: Hierarchical modeling of music for detailed control
Yusong Wu
Yi Deng
Rigel Jacob Swavely
Kyle Kastner
TIm Cooijmans
Aaron Courville
ICLR 2022 (2022) (to appear)
MT3: Multi-task Multitrack Music Transcription
Josh Gardner
Curtis Glenn-Macway Hawthorne
ICLR 2022 (to appear)
The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling
Yusong Wu
Josh Gardner
Curtis Glenn-Macway Hawthorne
arXiv (2022)
Sequence-to-Sequence Piano Transcription with Transformers
Curtis Glenn-Macway Hawthorne
Rigel Jacob Swavely
ISMIR (2021) (to appear)