Biblio

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Report
Cano, P., Gómez E., Gouyon F., Herrera P., Koppenberger M., Ong B., et al. (2006).  ISMIR 2004 Audio Description Contest. Abstract
Gómez, E., Streich S., Ong B., Paiva R. P., Tappert S., Batke J. M., et al. (2006).  A Quantitative Comparison of Different Approaches for Melody Extraction from Polyphonic Audio Recordings. Abstract
Adiloglu, K., Anniés R., Purwins H., & Obermayer K. (2008).  Representations and Predictors for Everyday Sounds .
Adiloglu, K., Anniés R., Purwins H., & Obermayer K. (2009).  Visualisation and Measurement Assisted Design . Abstract
application/pdf iconAdiloglu_et_al_CLOSED_Deliverable5.2.pdf
PhD Thesis
Özaslan, T. (2013).  Computational Analysis of Expressivity in Classical Guitar Performances. Department of Information and Communication Technologies. 97. Abstract
application/pdf iconThesis document
Oramas, S. (2017).  Knowledge Extraction and Representation Learning for Music Recommendation and Classification. Department of Information and Communication Technologies. 203. Abstract
Caro Repetto, R. (2018).  The musical dimension of Chinese traditional theatre: An analysis from computer aided musicology. Departament d'Humanitats. xxiv + 458. Abstract
application/pdf iconSlides for the thesis defense
Ong, B. (2007).  Structural Analysis and Segmentation of Music Signals. Department of Information and Communication Technologies. Abstract
application/pdf iconThesis document
Miscellaneous
Ortolà, J. (2000).  Expressivitat musical en un sintetitzador de veu cantada. Abstract
Master Thesis
Oliveira, A. (2013).  A customizable, multi-parametric auditory display technique for theta-alpha neurofeedback training. Abstract
Özaslan, T. (2009).  Expressive Analysis of Violin Performers. Abstract
Özer, S. (2015).  F0 Modeling For Singing Voice Synthesizers with LSTM Recurrent Neural Networks. Abstract
application/pdf iconSerkan-Ozer-Master-thesis-2015.pdf
Ortolà, J. (2001).  Musical and phonetic controls in a singing voice synthesizer. Abstract
O'Connell, J. (2011).  Musical Mosaicing with High Level Descriptors. Abstract
application/pdf iconOConnell-John-Master-thesis-2011.pdf
Ong, B. (2005).  Towards Automatic Music Structural Analysis Identifying Characteristic Within-Song Excerpts in Popular Music. Abstract
Journal Article
Purwins, H., Blankertz B., & Obermayer K. (2000).  Computing auditory perception. Organised Sound. 5(3), 159-171. Abstract
Adiloglu, K., Anniés R., Wahlen E., Purwins P., & Obermayer K. (2012).  A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events. IEEE Transactions on Audio, Speech, and Language Processing. 20(5), 1542-52. Abstract
Oramas, S., Espinosa-Anke L., Sordo M., Saggion H., & Serra X. (2016).  Information Extraction for Knowledge Base Construction in the Music Domain. Data & Knowledge Engineering. 106, 70-83. Abstract
Oramas, S., & Sordo M. (2016).  Knowledge Is Out There: A New Step in the Evolution of Music Digital Libraries. Fontes Artis Musicae. 63(4), 285-298. Abstract
Poliner, G., Ellis D., Ehmann A., Gómez E., Streich S., & Ong B. (2007).  Melody Transcription from Music Audio Approaches and Evaluation. IEEE Transactions on Audio, Speech and Language Processing. 15, 1247-1256. 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
Oramas, S., Espinosa-Anke L., Gómez F., & Serra X. (2018).  Natural Language Processing for Music Knowledge Discovery. Journal of New Music Research. Abstract
Ortega, F. J. M., Giraldo S. I., Perez A., & Ramírez R. (2019).  Phrase-Level Modeling of Expression in Violin Performances. Frontiers in Psychology. 10, 776. Abstract
Holzapfel, A., Davies M. E. P., Zapata J. R., Oliveira J., & Gouyon F. (2012).  Selective sampling for beat tracking evaluation. IEEE Transactions on Audio Speech and Language Processing. Abstract
application/pdf iconHolzapfelEtAl12-taslp.pdf
Oramas, S., Ostuni V. C., Di Noia T., Serra X., & Di Sciascio E. (2016).  Sound and Music Recommendation with Knowledge Graphs. ACM Transactions on Intelligent Systems and Technology (TIST). 8(2), 1-21. Abstract
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