Biblio

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A
Akkermans, V., Font F., Funollet J., De Jong, B, Roma G., Togias S., et al. (2011).  Freesound 2: An Improved Platform for Sharing Audio Clips. International Society for Music Information Retrieval Conference (ISMIR 2011), Late-breaking Demo Session. Abstract
Amatriain, X., & Griffiths D. (2004).  Free Software in Education Is it a Viable Alternative?. Abstract
B
Bogdanov, D. (2013).  From music similarity to music recommendation: Computational approaches based on audio features and metadata. Department of Information and Communication Technologies. 227.
application/pdf icondbogdanov_phd_thesis_2013.pdf
Bogdanov, D., Serrà J., Wack N., & Herrera P. (2009).  From Low-level to High-level: Comparative Study of Music Similarity Measures. IEEE International Symposium on Multimedia. Workshop on Advances in Music Information Research (AdMIRe). Abstract
Bonada, J. (2005).  F-2 Voice Solo to Unison Choir Transformation. Abstract
Bosch, J. (2017).  From Heuristics-Based to Data-Driven Audio Melody Extraction. Department of Information and Communication Technologies. Abstract
Bozkurt, B. (2012).  Features for Analysis of Makam Music. 2nd CompMusic Workshop.
application/pdf icon2012_3_CMW_Bozkurt.pdf
C
Cano, P. (1998).  Fundamental Frequency Estimation in the SMS analysis. International Conference on Digital Audio Effects (DAFX). Abstract
Celma, Ò., & Cano P. (2008).  From hits to niches? or how popular artists can bias music recommendation and discovery. 2nd Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition (ACM KDD). Abstract
Celma, Ò. (2006).  Foafing the Music Bridging the semantic gap in music recommendation. 5th International Semantic Web Conference (ISWC). Abstract
Celma, Ò., Ramirez R., & Herrera P. (2005).  Foafing the music: A music recommendation system based on RSS feeds and user preferences. 6th International Conference on Music Information Retrieval (ISMIR). 464-467. Abstract
Christopoulos, C. (2014).  From gesture to sound: A study for a musical interface using gesture following techniques. Abstract
application/pdf iconCharalampos-Christopoulos-Master-Thesis-2014.pdf
Cuesta, H., Gómez E., & Chandna P. (2019).  A Framework for Multi-f0 Modeling in SATB Choir Recordings. Sound and Music Computing Conference. 447-453. Abstract
E
Espinosa-Anke, L., Oramas S., Camacho-Collados J., & Saggion H. (2016).  Finding and Expanding Hypernymic Relations in the Music Domain. 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA). Abstract
application/pdf iconCCIA16.pdf
F
Favory, X., Fonseca E., Font F., & Serra X. (2018).  Facilitating the Manual Annotation of Sounds When Using Large Taxonomies. 23rd IEEE FRUCT Conference. Abstract
Fonseca, E., Pons J., Favory X., Font F., Bogdanov D., Ferraro A., et al. (2017).  Freesound Datasets: A Platform for the Creation of Open Audio Datasets. 18th International Society for Music Information Retrieval Conference. Abstract
Font, F., Roma G., & Serra X. (2013).  Freesound Technical Demo. ACM International Conference on Multimedia (MM'13). 411-412. Abstract
application/pdf iconFont-Roma-Serra-ACMM-2013.pdf
Font, F., & Bandiera G. (2017).  Freesound Explorer: Make Music While Discovering Freesound!. Web Audio Conference (WAC 2017). Abstract
Font, F., Serrà J., & Serra X. (2013).  Folksonomy-based tag recommendation for collaborative tagging systems. International Journal on Semantic Web and Information Systems. 9(2), 1-30. Abstract
Font, F., Serrà J., & Serra X. (2012).  Folksonomy-based tag recommendation for online audio clip sharing. 13th International Society for Music Information Retrieval Conference (ISMIR 2012). 73-78. Abstract
G
Gómez Rubio, I. (2011).  fMRI Sonification & Brain Activity Prediction. Abstract
H
Haro, G. G., & Herrera P. (2009).  From Low-level to Song-level Percussion Descriptors of Polyphonic Music. 10th International Society for Music Information Retrieval Conference. Abstract
J
Janer, J. (2005).  Feature Extraction for Voice-driven Synthesis. Abstract
Jarjoura, J. (2017).  Fusion of musical contents, brain activity and short term physiological signals for music-emotion recognition. Abstract
Jordà, S. (1999).  Faust Music On Line (FMOL) An approach to Real-time Collective Composition on the Internet. Leonardo Music Journal. 9, 5-12. Abstract
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