High Resolution Guitar Transcription via Domain Adaptation

arXiv:2402.15258v1 Announce Type: cross
Abstract: Automatic music transcription (AMT) has achieved high accuracy for piano due to the availability of large, high-quality datasets such as MAESTRO and MAPS, but comparable datasets are not yet available for other instruments. In recent work, however, it has been demonstrated that aligning scores to transcription model activations can produce high quality AMT training data for instruments other than piano. Focusing on the guitar, we refine this approach to training on score data using a …

abstract accuracy arxiv availability cs.lg cs.sd datasets domain domain adaptation eess.as maps music quality transcription type via work