A U-Net Based Architecture for Automatic Music Transcription
Author:
Affiliation:
1. Sapienza University of Rome via Eudossiana 18,Department of Information Engineering, Electronics and Telecommunications (DIET),Rome,Italy,00184
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10285838/10285858/10285985.pdf?arnumber=10285985
Reference21 articles.
1. Multipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle
2. A key-finding algorithm based on tonal hierarchies
3. Evaluation of multiple-F0 estimation and tracking systems;bay;10th International Society for Music Information Retrieval Conference (ISMIR 2009),2009
4. On the computer recognition of solo piano music;dixon;Proceedings of Australasian Computer Music Conference (ACMC 2000),2000
5. A Shift-Invariant Latent Variable Model for Automatic Music Transcription
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