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2010 – 2019
- 2019
[c6]Reinier de Valk, Ryaan Ahmed, Tim Crawford:
JosquIntab: A Dataset for Content-based Computational Analysis of Music in Lute Tablature. ISMIR 2019: 431-438- 2018
- [c5]Reinier de Valk, Tillman Weyde:
Deep Neural Networks with Voice Entry Estimation Heuristics for Voice Separation in Symbolic Music Representations. ISMIR 2018: 281-288 - [c4]Albert Meroño-Peñuela
, Reinier de Valk, Enrico Daga, Marilena Daquino, Anna Kent-Muller:
The Semantic Web MIDI Tape: An Interface for Interlinking MIDI and Context Metadata. SAAM@ISWC 2018: 24-32 - 2017
- [c3]Reinier de Valk, Anja Volk, Andre Holzapfel, Aggelos Pikrakis, Nadine Kroher, Joren Six:
MIRchiving: Challenges and opportunities of connecting MIR research and digital music archives. DLfM 2017: 25-28 - [c2]Albert Meroño-Peñuela, Rinke Hoekstra, Aldo Gangemi, Peter Bloem, Reinier de Valk, Bas Stringer, Berit Janssen, Victor de Boer, Alo Allik, Stefan Schlobach, Kevin R. Page:
The MIDI Linked Data Cloud. ISWC (2) 2017: 156-164 - 2016
- [p1]Tillman Weyde, Reinier de Valk:
Chord- and Note-Based Approaches to Voice Separation. Computational Music Analysis 2016: 137-154 - 2015
- [b1]Reinier de Valk:
Structuring lute tablature and MIDI data : machine learning models for voice separation in symbolic music representations. City University London, UK, 2015 - 2013
- [c1]Reinier de Valk, Tillman Weyde, Emmanouil Benetos:
A Machine Learning Approach to Voice Separation in Lute Tablature. ISMIR 2013: 555-560
Coauthor Index
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