2026-05-27T21:54:00Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/284862026-02-03T11:37:06Zcom_10630_2254col_10630_20092

Framework for automatic singing transcription: Database and Software. Molina, Emilio Barbancho-Pérez, Ana María Tardón-García, Lorenzo José Barbancho-Pérez, Isabel Música - Proceso de datos 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. 2023-12-22T11:46:42Z 2023-12-22T11:46:42Z 2023-12-19 dataset https://hdl.handle.net/10630/28486 10.24310/riuma.28486 eng Molina, E., Barbancho A. M., Tardon, L. J., Barbancho, I.,"Evaluation framework for automatic singing transcription", 15thInternational Society for Music Information Retrieval Conference,ISMIR 2014. http://hdl.handle.net/10630/8372 http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Universidad de Málaga