Biblio

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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
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)
Oramas, S., Espinosa-Anke L., Gómez F., & Serra X. (2018).  Natural Language Processing for Music Knowledge Discovery. Journal of New Music Research. Abstract
G. Mahedero, J., Cano P., Martinez A., Gouyon F., & Koppenberger M. (2005).  Natural language processing of lyrics. Abstract
G. Risueño, M. (2008).  NAUTILUS. A Musical, Collaborative and Interactive Sonification Toolkit. 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
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
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
Barbosa, A., Cardoso J., & Geiger G. (2005).  Network Latency Adaptive Tempo in the Public Sound Objects System. Abstract
Patlatzoglou, K. (2016).  Neural and Music Correlates of Music-evoked Emotions. Abstract
Blanco, A. D., & Ramirez R. (2017).  Neural correlates of bow learning technique. Proceedings of the 10th International Workshop on Machine Learning and Music. 1-6. Abstract
Delgado, N. (2017).  Neural Correlates of Music and Emotion in ASD and Typical Children. Abstract
Blaauw, M., & Bonada J. (2017).  A Neural Parametric Singing Synthesizer. 18th Annual Conference of the International Speech Communication Association (Interspeech). 1230-1234.
Blaauw, M., & Bonada J. (2017).  A Neural Parametric Singing Synthesizer Modeling Timbre and Expression from Natural Songs. Applied Sciences. 7(12),  Abstract
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
Celma, Ò., & Herrera P. (2008).  A New Approach to Evaluating Novel Recommendations. 2008 ACM Conference on Recommender Systems. Abstract
application/pdf iconpostprint version
Guaus, E. (2004).  New approaches for rhythmic description of audio signals. Abstract
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
Jordà, S. (2001).  New Musical Interfaces and New Music-making Paradigms. Abstract
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
Guaus, E., & Batlle E. (2004).  A non-linear rhythm-based style classifcation for Broadcast Speech-Music Discrimination. 116th AES Convention. Abstract
Musevic, S. (2009).  Non-stationary sinusoidal analysis. Abstract
Musevic, S. (2013).  Non-Stationary Sinusoidal Analysis. Department of Information and Communication Technologies. 210. Abstract
application/pdf iconThesis document
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
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