| Title: |
Don't hide in the frames: Note-and pattern-based evaluation of automated melody extraction algorithms |
| Authors: |
Frieler, Klaus; Başaran, Doğaç; Höger, Frank; Crayencour, Hélène-Camille; Peeters, Geoffroy; Dixon, Simon |
| Contributors: |
University of Music “Franz Liszt" Weimar, Germany; Audible Magic London; University of Music “Franz Liszt" Weimar; Laboratoire des signaux et systèmes (L2S); CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS); Institut Polytechnique de Paris (IP Paris); Laboratoire Traitement et Communication de l'Information (LTCI); Institut Mines-Télécom Paris (IMT)-Télécom Paris; Institut Mines-Télécom Paris (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris); Signal, Statistique et Apprentissage (S2A); Institut Mines-Télécom Paris (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Institut Mines-Télécom Paris (IMT)-Télécom Paris; Centre for Digital Music; Queen Mary University of London (QMUL); Association for Computing Machinery; ANR-16-DATA-0005,ALDJAZZ,Dig that lick: Analysing large-scale data for melodic patterns in jazz performances(2016) |
| Source: |
DLfM ’19: 6th International Conference on Digital Libraries for Musicology ; https://hal.science/hal-02420416 ; DLfM ’19: 6th International Conference on Digital Libraries for Musicology, Nov 2019, The Hague, Netherlands. ⟨10.1145/3358664.3358672⟩ ; https://dlfm.web.ox.ac.uk/2019-proceedings |
| Publisher Information: |
CCSD |
| Publication Year: |
2019 |
| Subject Terms: |
[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]; [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD] |
| Subject Geographic: |
The Hague; Netherlands |
| Description: |
International audience |
| Document Type: |
conference object |
| Language: |
English |
| DOI: |
10.1145/3358664.3358672 |
| Availability: |
https://hal.science/hal-02420416; https://hal.science/hal-02420416v1/document; https://hal.science/hal-02420416v1/file/4_frieler_et_al_DLFM_2019.pdf; https://doi.org/10.1145/3358664.3358672 |
| Rights: |
https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.F167900D |
| Database: |
BASE |