Biblio

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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
Jones, M. K. (2019).  Acoustic Scene Classification using Convolutional Neural Networks on Multivariate Audio. Abstract
Bogdanov, D., Porter A., Schreiber H., Urbano J., & Oramas S. (2019).  The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. 20th International Society for Music Information Retrieval Conference (ISMIR 2019). Abstract
Porter, A., Bogdanov D., Kaye R., Tsukanov R., & Serra X. (2015).  AcousticBrainz: a community platform for gathering music information obtained from audio. 16th International Society for Music Information Retrieval Conference (ISMIR 2015). 786-792. Abstract
application/pdf iconpostprint version
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
Villafuerte, L., Markova M. S., & Jordà S. (2012).  Acquisition of Social Abilities Through Musical Tangible User Interface: Children with Autism Spectrum Condition and the Reactable. CHI'12. 745-760. Abstract
application/pdf iconp745-villafuerte.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
Sarasúa, Á. (2011).  Active Learning for User-Tailored Refined Music Mood Detection. Abstract
application/pdf iconSarasua-Alvaro-Master-thesis-2011.pdf
Tarrat, J. M. (2008).  Adaptation of the Seam Carving Technique for Improving Audio Time-Scaling. Abstract
Mayor, O. (2001).  An adaptative real-time beat tracking system for polyphonic pieces of audio using multiple hypotheses. Abstract
Coleman, G., Bonada J., & Maestre E. (2011).  Adding Dynamic Smoothing to Mixture Mosaicing Synthesis. Spars11: Workshop on Signal Processing with Adaptive Sparse Structured Representations. Abstract
application/pdf icondynmos_spars11.pdf
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
Nieto, B. (2014).  Addressing user satisfaction in melody extraction. Abstract
application/pdf iconBelen-Nieto-Master-Thesis-2014.pdf
Jordà, S. (2002).  Afasia the Ultimate Homeric One-man-multimedia-band. Abstract
Geiger, G., Mora A., Rubio X., & Amatriain X. (2003).  AGNULA A GNU Linux Audio Distribution. Abstract
Dalmazzo, D. C., & Ramirez R. (2017).  Air Violin: A Machine Learning Approach to Fingering Gesture Recognition. MIE’17, November 13, 2017, Glasgow, UK. 4. Abstract
Streich, S., & Herrera P. (2006).  Algorithmic Prediction of Music Complexity Judgements. 9th International Conference on Music Perceptionand Cognition. Abstract
Roma, G. (2015).  Algorithms and representations for supporting online music creation with large-scale audio databases. Department of Information and Communication Technologies. 181. 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
Yesiler, F. (2018).  Analysis and Automatic Classification of Phonation Modes in Singing. Abstract
Pratyush (2010).  Analysis and Classification of Ornaments in North Indian (Hindustani) Classical Music. Abstract
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