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oai:riuma.uma.es:10630/83722026-02-03T12:10:54Zcom_10630_2254col_10630_37959

Evaluation framework for automatic singing transcription Molina, Emilio Barbancho-Pérez, Ana María Tardón-García, Lorenzo José Barbancho-Pérez, Isabel Música - Proceso de datos In this paper, we analyse the evaluation strategies used in previous works on automatic singing transcription, and we present a novel, comprehensive and freely available evaluation framework for automatic singing transcription. This framework consists of a cross-annotated dataset and a set of extended evaluation measures, which are integrated in a Matlab toolbox. The presented evaluation measures are based on standard MIREX note-tracking measures, but they provide extra information about the type of errors made by the singing transcriber. Finally, a practical case of use is presented, in which the evaluation framework has been used to perform a comparison in detail of several state-of-the-art singing transcribers. 2014-11-05T13:06:12Z 2014-11-05T13:06:12Z 2014-11-05T13:06:12Z conference output http://hdl.handle.net/10630/8372 0000-0002-5441-225X eng ISMIR 2014. The International Society for Music Information Retrieval Taipei, Taiwan Octubre de 2014 open access