Balancing bias and performance in polyphonic piano transcription systems
Current state-of-the-art methods for polyphonic piano transcription tend to use high capacity neural networks. Most models are trained “end-to-end”, and learn a mapping from audio input to pitch labels. They require large training corpora consisting of many audio recordings of different piano models...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Signal Processing |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frsip.2022.975932/full |