The MIDI linked data cloud A Meroño-Peñuela, R Hoekstra, A Gangemi, P Bloem, R de Valk, ... The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …, 2017 | 36 | 2017 |
MIRchiving: Challenges and opportunities of connecting MIR research and digital music archives R De Valk, A Volk, A Holzapfel, A Pikrakis, N Kroher, J Six Proceedings of the 4th International Workshop on Digital Libraries for …, 2017 | 16 | 2017 |
Deep neural networks with voice entry estimation heuristics for voice separation in symbolic music representations R de Valk, T Weyde International Society for Music Information Retrieval conference, 281-288, 2018 | 15 | 2018 |
A machine learning approach to voice separation in lute tablature R de Valk, T Weyde, E Benetos | 12 | 2013 |
Bringing ‘musicque into the tableture’: Machine-learning models for polyphonic transcription of 16th-century lute tablature R de Valk, T Weyde Early Music 43 (4), 563-576, 2015 | 9 | 2015 |
Structuring lute tablature and MIDI data: Machine learning models for voice separation in symbolic music representations R De Valk City, University of London, 2015 | 9 | 2015 |
A large-scale semantic library of MIDI linked data A Meroño-Peñuela, M Daquino, E Daga 5th International Conference on Digital Libraries for Musicology (DLfM …, 2018 | 7 | 2018 |
JosquIntab: A Dataset for Content-based Computational Analysis of Music in Lute Tablature. R de Valk, R Ahmed, T Crawford ISMIR, 431-438, 2019 | 5 | 2019 |
The Semantic Web MIDI Tape: An interface for interlinking MIDI and context metadata A Meroño-Peñuela, R De Valk, E Daga, M Daquino, A Kent-Muller Proceedings of the 1st International Workshop on Semantic Applications for …, 2018 | 5 | 2018 |
Guidelines for software quality M van Gompel, J Noordzij, R De Valk, A Scharnhorst CLARIAH Task 54, 2016 | 5 | 2016 |
Chord-and note-based approaches to voice separation T Weyde, R de Valk Computational music analysis, 137-154, 2015 | 3 | 2015 |
Voice entry estimation heuristics to reduce error propagation in voice separation models R de Valk, T Weyde Proc. of the 18th International Society for Music Information Retrieval …, 2017 | 2 | 2017 |
Crafting TabMEI, a module for encoding instrumental tablatures R de Valk, D Lewis, T Crawford, R Ahmed, L Pugin, J Kepper Music Encoding Conference Proceedings, 75, 2020 | 1 | 2020 |
Curating and Archiving Linked Data Datasets from the Humanities-From Data of the Present to Data of the Future AM Scharnhorst, M van Erp, R Siebes, CDM Guéret, T Crick, V Tykhonov, ... Book of Abstracts DH2019, 2019 | 1 | 2019 |
Towards Automatic Transcription of Sixteenth-Century Lute Intabulations: Designing an Algorithm for Automatic Voice Extraction R Valk | 1 | 2008 |
" Ain schone kunstliche underweisung": Modelling German lute tablature in MEI T Crawford, R de Valk, D Lewis, M Lewon, P Overell, K Schöning, D Weigl | | 2023 |
A Machine-Learning Assisted Approach to Reconstructing Polyphony from Lute Tablature using a Corpus of William Byrd's Consort Songs H Sequera, R de Valk Empirical Musicology.[Forthcoming], 2020 | | 2020 |
ORCID: 0000-0001-8028-9905 (2018). Deep neural networks with voice entry estimation heuristics for voice separation in symbolic music representations R de Valk, T Weyde 19th International Society for Music Information Retrieval Conference (ISMIR …, 2018 | | 2018 |
Celebrating Dowland’s 450th R de Valk Early Music 41 (3), 538-540, 2013 | | 2013 |
VU Research Portal A Meroño-Peñuela, RJ Hoekstra, A Gangemi, P Bloem, R de Valk, ... | | |