AcousticBrainz: A Community Platform for Gathering Music Information Obtained from Audio

Comunicacio presentada a la 16th International Society for Music Information Retrieval Conference (ISMIR 2015), celebrada els dies 26 a 30 d'octubre de 2015 a Malaga, Espanya.

[1]  I. Deliyannis,et al.  LEGAL ISSUES IN USING MUSICAL CONTENT FROM iTunes AND YouTube FOR MUSIC INFORMATION RETRIEVAL , 2012 .

[2]  George Tzanetakis,et al.  Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies , 2011, MM 2011.

[3]  Xavier Serra,et al.  ISMIR 2004 Audio Description Contest , 2006 .

[4]  Joan Serrà,et al.  Music Mood Annotator Design and Integration , 2009, 2009 Seventh International Workshop on Content-Based Multimedia Indexing.

[5]  Katharina Morik,et al.  A Benchmark Dataset for Audio Classification and Clustering , 2005, ISMIR.

[6]  Thierry Bertin-Mahieux,et al.  The Million Song Dataset , 2011, ISMIR.

[7]  J. Stephen Downie,et al.  Exploring Mood Metadata: Relationships with Genre, Artist and Usage Metadata , 2007, ISMIR.

[8]  Andreas Rauber,et al.  Facilitating Comprehensive Benchmarking Experiments on the Million Song Dataset , 2012, ISMIR.

[9]  Xavier Serra,et al.  Essentia: An Audio Analysis Library for Music Information Retrieval , 2013, ISMIR.

[10]  George Tzanetakis,et al.  Musical genre classification of audio signals , 2002, IEEE Trans. Speech Audio Process..

[11]  Bob L. Sturm.  An analysis of the GTZAN music genre dataset , 2012, MIRUM '12.

[12]  Xavier Serra,et al.  What is the Effect of Audio Quality on the Robustness of MFCCs and Chroma Features? , 2014, ISMIR.

[13]  Enric Guaus i Termens.  Audio content processing for automatic music genre classification: descriptors, databases, and classifiers , 2010 .