Biblio

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Book
Book Chapter
Gouyon, F., Herrera P., Gómez E., Cano P., Bonada J., Loscos A., et al. (2008).  Content Processing of Music Audio Signals. (Polotti, P., Rocchesso, D., Ed.).Sound to Sense, Sense to Sound: A State of the Art in Sound and Music Computing. 83-160. Abstract
Ramirez, R., Gómez E., Vicente V., Puiggròs M., Hazan A., & Maestre E. (2006).  Modeling Expressive Music Performance in Bassoon Audio Recordings. Intelligent Computing in Signal Processing and Pattern Recognition. 345, 951-957.
Jordà, S. (2007).  The reactable. (Polotti, P., Rocchesso, D., Ed.).Sound to Sense, Sense to Sound – A state of the art in Sound and Music Computing. 490. Abstract
Purwins, H., Normann I., & Obermayer K. (2005).  Unendlichkeit - Konstruktion akustischer Paradoxien. (Manfred Stahnke, Ed.).Mikrotöne und mehr – Auf György Ligetis Hamburger Pfaden. 39-80.
Conference Paper
Porcaro, L., & Gómez E. (2019).  20 Years of Playlists: A Statistical Analysis on Popularity and Diversity. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). Abstract
Porter, A., & Serra X. (2014).  An analysis and storage system for music research datasets. 1st International Digital Libraries for Musicology workshop. 1-3. Abstract
Gong, R., Pons J., & Serra X. (2017).  Audio to Score Matching by Combining Phonetic and Duration Information. The 18th International Society for Music Information Retrieval Conference. Abstract
Gómez, P., Pikrakis A., Mora J., Díaz-Báñez J. M., Gómez E., Escobar Borrego F., et al. (2012).  Automatic Detection of Melodic Patterns in Flamenco Singing by Analyzing Polyphonic Music Recordings. III Interdisciplinary Conference on Flamenco Research (INFLA) and II International Workshop of Folk Music Analysis (FMA). Abstract
Gómez, F., Pikrakis A., Mora J., Díaz-Báñez J. M., & Gómez E. (2011).  Automatic Detection of Ornamentation in Flamenco Music. 4th International Workshop on Machine Learning and Music, Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011).
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