Biblio

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W
Wright, M., Chaudhary A., Freed A., Wessel D., Rodet X., Woehrmann R., et al. (1998).  New Applications of the Sound Description Interchange Format. International Computer Music Conference. Abstract
U
Unal, E., Bozkurt B., & Karaosmanoglu K. M. (2012).  N-gram based Statistical Makam Detection on Makam Music in Turkey using Symbolic Data. Int. Soc. for Music Information Retrieval Conf. (ISMIR).
application/pdf icon2012_4_Ismir_Unal_etAl.pdf
S
Serrà, J., de los Santos C. A., & Andrzejak R. G. (2011).  Nonlinear audio recurrence analysis with application to genre classification. IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP). 169-172. Abstract
application/pdf iconserraetal_icassp2011.pdf
de los Santos, C. A. (2010).  Nonlinear Audio Recurrence Analysis with Application to Music Genre Classification. Abstract
R
Romaní Picas, O. (2014).  A novel audio-to-score alignment method using velocity-driven DTW. Abstract
P
Purwins, H., Blankertz B., & Obermayer K. (2000).  A new method for tracking modulations in tonal music in audio data format. International Joint Conference on Neural Network (IJCNN'00). 6, 270-275. Abstract
Pretto, N., Bozkurt B., Caro Repetto R., & Serra X. (2018).  Nawba Recognition for Arab-Andalusian Music Using Templates From Music Scores. Sound and Music Computing Conference. Abstract
Patlatzoglou, K. (2016).  Neural and Music Correlates of Music-evoked Emotions. Abstract
O
Oramas, S., Espinosa-Anke L., Gómez F., & Serra X. (2018).  Natural Language Processing for Music Knowledge Discovery. Journal of New Music Research. Abstract
M
Musevic, S. (2013).  Non-Stationary Sinusoidal Analysis. Department of Information and Communication Technologies. 210. Abstract
Musevic, S. (2009).  Non-stationary sinusoidal analysis. Abstract
J
Jordà, S. (2001).  New Musical Interfaces and New Music-making Paradigms. Abstract
Jensenius, A., Camurri A., Castagné N., Maestre E., Malloch J., McGilvray D., et al. (2007).  The need of formats for streaming and storing music-related movement and gesture data. Abstract
G
Guaus, E. (2004).  New approaches for rhythmic description of audio signals. Abstract
Guaus, E., & Batlle E. (2004).  A non-linear rhythm-based style classifcation for Broadcast Speech-Music Discrimination. 116th AES Convention. Abstract
G. Risueño, M. (2008).  NAUTILUS. A Musical, Collaborative and Interactive Sonification Toolkit. Abstract
G. Mahedero, J., Cano P., Martinez A., Gouyon F., & Koppenberger M. (2005).  Natural language processing of lyrics. Abstract
D
Delgado, N. (2017).  Neural Correlates of Music and Emotion in ASD and Typical Children. Abstract
C
Chen, G., Wang T. - G., & Herrera P. (2008).  A Novel Music Retrieval System with Relevance Feedback. Third International Conference on Innovative Computing, Information and Control. Abstract
Celma, Ò., & Herrera P. (2008).  A New Approach to Evaluating Novel Recommendations. 2008 ACM Conference on Recommender Systems. Abstract
application/pdf iconpostprint version
Caro Repetto, R., & Serra X. (2016).  NACTA: construyendo el futuro de la tradición del jingju. Itinerarios, Espacios, Contextos: XIV congreso de la Sociedad de Etnomusicología, IX congreso de IASPM España. Abstract
application/pdf iconCaro & Serra - NACTA y jingju - SIBE 2017 (presentation slides)
Carabias-Orti, J. J., Cobos M., Vera-Candeas P., & Rodríguez-Serrano F. J. (2013).  Nonnegative signal factorization with learnt instrument models for sound source separation in close-microphone recordings. EURASIP Journal on Advances in Signal Processing. Abstract
Cano, P., Koppenberger M., Le Groux S., Ricard J., Wack N., & Herrera P. (2005).  Nearest-Neighbor Automatic Sound Classification with a WordNet Taxonomy. Journal of Intelligent Information Systems. 24, 99-111. Abstract
Cano, P., Koppenberger M., Le Groux S., Ricard J., Herrera P., & Wack N. (2004).  Nearest-neighbor generic sound classification with a wordnet-based taxonomy. Abstract
B
Bucci, A., Pérez A., & Bonada J. (2012).  Non-Impulsive Signal Deconvolution for Computation of Violin Impulse Responses. IEEE International Conference on Acoustics, Speech, and Signal Processing. Abstract
application/pdf iconDeconvolution.pdf
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