RT Generic
T1 Framework for automatic singing transcription: Database and Software.
A1 Molina, Emilio
A1 Barbancho-Pérez, Ana María
A1 Tardón-García, Lorenzo José
A1 Barbancho-Pérez, Isabel
K1 Música - Proceso de datos
AB This Research data consists of a cross-annotated dataset of 1154seconds and a novel set of evaluation measures, able to report thetype of errors made by the system. Both the dataset, and a Matlabtoolbox including the presented evaluation measures, are freely available. In order to show the utility of the work presented in thispaper, we have performed an detailed comparative study of threestate-of-the-art singing transcribers plus a baseline method, lead-ing to relevant information about the performance of each method.
PB Universidad de Málaga
YR 2023
FD 2023-12-19
LK https://hdl.handle.net/10630/28486
UL https://hdl.handle.net/10630/28486
LA eng
NO This work has been funded by the Ministerio de Economía y Competitividad of the Spanish Government under Project No.TIN2013-47276-C6-2-R and by the Junta de Andalucía underProject No. P11-TIC-7154. The work has been done at Universidadde Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026