Biblio

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F
Gómez-Martín, F., Díaz-Báñez J. M., Gómez E., & Mora J. (2014).   Flamenco music and its computational study. BRIDGES: Mathematical Connections in Art, Music, and Science.
application/pdf iconCOFLA-Bridges.pdf
I
Molina-Solana, M., Arcos J. L., & Gómez E. (2010).   Identifying violin performers by their expressive trends . Intelligent Data Analysis. 14(5), 555-571. Abstract
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Herrera, P., & Gómez E. (2015).   Life Soundtracking: promises and challenges of automated systems aimed to recovering meaningful music for Alzheimer's patients. International Workshop on Quantitative and Qualitative Music Therapy Research. 19. Abstract
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Pauwels, J., O’Hanlon K., Gómez E., & Sandler M. B. (2019).  20 Years of automatic chord recognition from audio. International Society for Music Information Retrieval (ISMIR). Abstract
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
A
Geiger, G. (2005).  Abstraction in Computer Music Software Systems. Abstract
Gouyon, F., Widmer G., & Serra X. (2005).  Acoustic Cues to Beat Induction A Machine Learning Perspective. 10th Rhythm Perception and Production Workshop. 24(2), 177-188. Abstract
Gouyon, F., Widmer G., Serra X., & Flexer A. (2006).  Acoustic Cues to Beat Induction. A Machine Learning Perspective. Music Percepcion. UCPress. 24, 177-188. Abstract
Fonseca, E., Gong R., Bogdanov D., Slizovskaia O., Gomez E., & Serra X. (2017).  Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks. Workshop on Detection and Classification of Acoustic Scenes and Events. Abstract
Garcia Diaz-Castroverde, F. (2010).  Acquisition and Study of Blowing Pressure Profiles in Recorder Playing. Abstract
Garcia, F., Vinceslas L., & Maestre E. (2011).  Acquisition and study of blowing pressure profiles in recorder playing. NIME. Abstract
application/pdf iconnime2011-1.pdf
Maestre, E., Bonada J., Blaauw M., Pérez A., & Guaus E. (2007).  Acquisition of violin instrumental gestures using a commercial EMF device. International Computer Music Conference. Abstract
Marques, G., Lopes M., Sordo M., Langlois T., & Gouyon F. (2010).  Additional Evidence That Common Low-level Features Of Individual Audio Frames Are Not Representative Of Music Genre. 7th Sound and Music Computing Conference, 2010, Barcelona, Spain. Abstract
application/pdf icon20.pdf
Geiger, G., Mora A., Rubio X., & Amatriain X. (2003).  AGNULA A GNU Linux Audio Distribution. Abstract
Batlle, E., Masip J., & Guaus E. (2004).  Amadeus A Scalable HMM-based Audio Information Retrieval System. First International Symposium on Control, Communications and Signal Processing. 731-734. Abstract
Schedl, M., Eghbal-Zadeh H., Gómez E., & Tkalcic M. (2016).  An analysis of agreement in classical music perception and its relationship to listener characteristics. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 578-583. Abstract
Cuesta, H., Gómez E., Martorell A., & Loáiciga F. (2018).  Analysis of Intonation in Unison Choir Singing. 15th International Conference on Music Perception and Cognition (ICMPC).
Salamon, J., Bittner R., Bonada J., Bosch J. J., Gómez E., & Bello J. P. (2017).  An Analysis/Synthesis Framework for Automatic F0 Annotation of Multitrack Datasets. 18th International Society for Music Information Retrieval Conference. Abstract
application/pdf icon164_Paper.pdf
Gómez, E., Guastavino C., Gómez F., & Bonada J. (2012).  Analyzing Melodic Similarity Judgements in Flamenco a Cappella Singing. International Conference on Music Perception and Cognition.
application/pdf iconICMPC-2012-flamenco.pdf
Valero-Mas, J. J., Salamon J., & Gómez E. (2015).  Analyzing the influence of pitch quantization and note segmentation on singing voice alignment in the context of audio-based Query-by-Humming. Sound and Music Computing Conference.
application/pdf iconValero-Salamon-Gomez-SMC2015.pdf
Cabrera, J. J., Díaz-Báñez J. M., Escobar Borrego F., Gómez E., Gómez F., & Mora J. (2009).  Aproximación interdisciplinar al análisis melódico de los cantes a capella. I Congreso Interdisciplinar Investigación y Flamenco.
application/pdf iconcofla-INFLA2009.pdf
Srinivasamurthy, A., Holzapfel A., Ganguli K. K., & Serra X. (2017).  Aspects of tempo and rhythmic elaboration in Hindustani music: A corpus study. Frontiers in Digital Humanities: Digital Musicology. 4, 20. Abstract
Zapata, J. R., Holzapfel A., Davies M. E. P., Oliveira J., & Gouyon F. (2012).  Assigning a Confidence Threshold on Automatic Beat Annotation in Large Datasets. 13th International Society for Music Information Retrieval Conference. 157-162. Abstract
application/pdf iconJose_Zapata_et_al_157_ISMIR_2012.pdf
Grachten, M., Marxer R., Hazan A., & Purwins H. (2007).  Attention as musical interplay of bottom-up accents and expectation. GOSPEL Workshop. Abstract
Font, F., Brookes T., Fazekas G., Guerber M., La Burthe A., Plans D., et al. (2016).  Audio Commons: bringing Creative Commons audio content to the creative industries. 61st AES Conference on Audio for Games. Abstract
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