Biblio

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Jarjoura, J. (2017).  Fusion of musical contents, brain activity and short term physiological signals for music-emotion recognition. Abstract
Cano, P. (1998).  Fundamental Frequency Estimation in the SMS analysis. International Conference on Digital Audio Effects (DAFX). Abstract
Molina, E., Barbancho I., Gómez E., Barbancho A. M., & Tardón L. J. (2013).  Fundamental frequency alignment vs note-based melodic similarity for singing voice assessment. 8th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
application/pdf iconSingingAssessment_ICASSP2013.pdf
Le Groux, S. (2006).  From Sense to Sound Mapping High-Level Sonic Percepts to Sound Generation. Abstract
Mayor, O. (2003).  From musical analysis to musical expression. Abstract
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
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
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
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
Bosch, J. (2017).  From Heuristics-Based to Data-Driven Audio Melody Extraction. Department of Information and Communication Technologies. 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
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
Roma, G., Herrera P., & Serra X. (2009).  Freesound Radio: supporting music creation by exploration of a sound database. Computational Creativity Support Workshop CHI09. Abstract
Roma, G. (2008).  Freesound Radio: supporting collective organization of sounds. Abstract
Font, F., & Bandiera G. (2017).  Freesound Explorer: Make Music While Discovering Freesound!. Web Audio Conference (WAC 2017). Abstract
Stamellos, L. (2016).  Freesound drum sets using unconventional sounds. 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
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
Ramirez, R., & Maestre E. (2009).  A Framework for Performer Identification in Audio Recordings. International Workshop on Machine Learning and Music - ECML-PKDD 09. Abstract
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
Stanyek, J., Benadon F., Browner T., Chordia P., Danielsen A., Gómez E., et al. (2014).  Forum on transcription. Twentieth-Century Music. 11(1), 101-161.
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
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
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
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