Template adaptation for improving automatic music transcription

Emmanouil Benetos (1) , Roland Badeau (2, 3) , Tillman Weyde (1) , Gael Richard (3, 2)

1 City University London
2 Télécom ParisTech
3 LTCI - Laboratoire Traitement et Communication de l'Information

In this work, we propose a system for automatic music transcription which adapts dictionary templates so that they closely match the spectral shape of the instrument sources present in each recording. Current dictionary-based automatic transcription systems keep the input dictionary fixed, thus the spectral shape of the dictionary components might not match the shape of the test instrument sources. By performing a conservative transcription pre-processing step, the spectral shape of detected notes can be extracted and utilized in order to adapt the template dictionary. We propose two variants for adaptive transcription, namely for single-instrument transcription and for multiple-instrument transcription. Experiments are carried out using the MAPS and Bach10 databases. Results in terms of multi-pitch de- tection and instrument assignment show that there is a clear and consistent improvement when adapting the dictionary in contrast with keeping the dictionary fixed.

Domaines: Traitement du signal et de l'image [eess.SP]

Emmanouil Benetos, Roland Badeau, Tillman Weyde, Gael Richard. Template adaptation for improving automatic music transcription. ISMIR 2014 The 15th International Society for Music Information Retrieval Conference, Oct 2014, Taipei, Taiwan. pp.6. ⟨hal-01083552⟩