Items where Author is "de Valk, R."
Article
de Valk, R. & Weyde, T. (2015). Bringing 'Musicque into the tableture': machine-learning models for polyphonic transcription of 16th-century lute tablature. Early Music, 43(4), pp. 563-576. doi: 10.1093/em/cau102
Conference or Workshop Item
de Valk, R. & Weyde, T. 
ORCID: 0000-0001-8028-9905 (2018).
Deep neural networks with voice entry estimation heuristics for voice separation in symbolic music representations.
In:
Proceedings of the 19th International Society for Music Information Retrieval Conference.
19th International Society for Music Information Retrieval Conference (ISMIR 2018), 23-27 Sep 2018, Paris, France.
de Valk, R., Weyde, T. & Benetos, E. (2013). A machine learning approach to voice separation in lute tablature. Paper presented at the 14th International Society for Music Information Retrieval Conference, 4 - 8 Nov 2013, Curitiba, Brazil.
Thesis
de Valk, R. (2015). Structuring lute tablature and MIDI data: Machine learning models for voice separation in symbolic music representations. (Unpublished Doctoral thesis, City, University of London)