Biblio

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A
Nieto, B. (2014).  Addressing user satisfaction in melody extraction. Abstract
application/pdf iconBelen-Nieto-Master-Thesis-2014.pdf
Nápoles López, N. (2017).  Automatic harmonic analysis of classical string quartets from symbolic score. Abstract
Won, M., Chun S., Nieto O., & Serra X. (2019).  Automatic music tagging with Harmonic CNN. International Society for Music Information Retrieval (ISMIR). Abstract
C
Nuanáin, C. Ó. (2018).  Connecting Time and Timbre: Computational Methods for Generative Rhythmic Loops in Symbolic and Signal Domains. Department of Information and Communication Technologies. 257. Abstract
Novillo Villegas, P. (2015).  Content-preserving reconstruction of Electronic Music Sessions using freely available musical building-blocks. Abstract
application/pdf iconPablo-Novillo-Master-thesis-2015.pdf
Nuttall, T., García-Casado M., Núñez-Tarifa V., Caro Repetto R., & Serra X. (2019).  Contributing to new musicological theories with computational methods: The case of centonization in Arab-Andalusian music. 20th Conference of the International Society for Music Information Retrieval. 223-228. Abstract
Purwins, H., Graepel T., Blankertz B., & Obermayer K. (2004).  Correspondence analysis for visualizing interplay of pitch class, key, and composer. (Guerino Mazzola, Thomas Noll, Emilio Luis-Puebla, Ed.).Perspectives in Mathematical and Computational Music Theory. 432-454. Abstract
D
Oramas, S., Nieto O., Sordo M., & Serra X. (2017).  A Deep Multimodal Approach for Cold-start Music Recommendation. 2nd Workshop on Deep Learning for Recommender Systems, at RecSys 2017. Abstract
Nogueira, W., Gajęcki T., Krüger B., Janer J., & Büchner A. (2016).  Development of a Sound Coding Strategy based on a Deep Recurrent Neural Network for Monaural Source Separation in Cochlear Implants. 12th ITG conference on Speech Communication. Abstract
E
Nuñez, V., & Herrera P. (2017).  Effects of voice, instrumentation and production on the recognition of emotions communicated by pop-rock songs . I Congreso Internacional de Psicología de la Música y la Interpretación Musical. Abstract
Pons, J., Nieto O., Prockup M., Schmidt E. M., Ehmann A. F., & Serra X. (2018).  End-to-end learning for music audio tagging at scale. 19th International Society for Music Information Retrieval Conference (ISMIR2018). Abstract
Roma, G., Herrera P., & Nogueira W. (2017).  Environmental sound recognition using short-time feature aggregation. Journal of Intelligent Information Systems. 1-19.
Nuanáin, C. Ó., Herrera P., & Jordà S. (2016).  An Evaluation Framework and Case Study for Rhythmic Concatenative Synthesis. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 67-72. Abstract
Nistal, J., Herrera P., & Jordà S. (2017).  Exploring the spontaneous expression of human finger-tapping. 2nd Conference on Computer Simulation of Musical Creativity. Abstract
Umbert, M., Bonada J., Goto M., Nakano T., & Sundberg J. (2015).  Expression Control in Singing Voice Synthesis: Features, Approaches, Evaluation, and Challenges. IEEE Signal Processing Magazine. 32(6), 55-73. Abstract
Neocleous, A. (2010).  Expressive Music Performance Modeling. Abstract
I
Neuschmied, H., Mayer H., & Batlle E. (2001).  Identification of Audio Titles on Internet. Abstract
Vogl, R., Leimeister M., Nuanáin C. Ó., Jordà S., Hlatky M., & Knees P. (2016).  An Intelligent Interface for Drum Pattern Variation and Comparative Evaluation of Algorithms. Journal of the Audio Engineering Society. 64(7/8), 503-513.
application/pdf icon18336.pdf
Nuanáin, C. Ó., Jordà S., & Herrera P. (2016).  An Interactive Software Instrument for Real-time Rhythmic Concatenative Synthesis. 16th International Conference on New Interfaces for Musical Expression (NIME 2016). 383-387. Abstract
K
Nuanáin, C. Ó., Jordà S., & Herrera P. (2017).  k-Best Hidden Markov Model Decoding for Unit Selection in Concatenative Sound Synthesis. International Symposium on Computer Music Multidisciplinary Research.
application/pdf iconcmmr_cameraready_carthach.pdf
L
Navarro, F. L. (2013).  Life Soundtrack Recovery for Alzheimer’s disease patients. Abstract
application/pdf iconFelipe-Navarro-Master-Thesis-2013.pdf
Gramunt, N., Desiré, Morera A., Gómez E., Herrera P., Nebot E., et al. (2019).  Lifesoundtrack: an intergenerational musical experience to promote wellbeing in people with dementia while increasing community awareness. 14th​ International Conference on Alzheimer's and Parkinson's Diseases. Abstract
M
Nieves, S. (2019).  Measurement of the Impulse Response of the Guitar to Extract Timbre Features. Abstract
Oramas, S., Nieto O., Barbieri F., & Serra X. (2017).  Multi-label Music Genre Classification from Audio, Text and Images Using Deep Features. 18th International Society for Music Information Retrieval Conference (ISMIR 2017). Abstract
Oramas, S., Barbieri F., Nieto O., & Serra X. (2018).  Multimodal Deep Learning for Music Genre Classification. Transactions of the International Society for Music Information Retrieval. 1(1), 4-21. Abstract
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