Biblio

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Unpublished
Cuesta, H., & Gómez E. (2017).  Automatic Pitch Estimation in Choir Singing Recordings using Deep Learning Strategies.
Report
Gómez Cañón, J. S., Herrera P., Gómez E., & Cano E. (2019).  The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement. Workshop-Symposium on Research Methods in Music and Emotion. Abstract
Gómez, E. (2011).  Integrating Different Knowledge Sources for the Computational Modeling of Flamenco Music. (Müller, M., Goto, M., Dixon, S., Ed.).Multimodal Music Processing (Dagstuhl Seminar 11041) - Dagstuhl Reports. 1(1), 82-83. Abstract
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
Salamon, J., Gómez E., & Bonada J. (2011).  Supplementary Graphs: Sinusoid Extraction and Salience Function Design for Predominant Melody Estimation.
application/pdf iconSGB_Graphs.pdf
Haro, G. G., Xambó A., Fuhrmann F., Bogdanov D., Gómez E., & Herrera P. (2010).  User Evaluation Questionnaire for The Musical Avatar Project. Abstract
application/pdf iconAvatar_User_Evaluation.pdf
PhD Thesis
Guaus, E. (2009).  Audio content processing for automatic music genre classification: descriptors, databases, and classifiers. Department of Information and Communication Technologies. Abstract
Gong, R. (2018).  Automatic Assessment of Singing Voice Pronunciation: A Case Study with Jingju Music. Department of Information and Communications Technologies. xxxii + 235. Abstract
Zapata, J. R. (2013).  Comparative evaluation and combination of automatic rhythm description systems. Department of Information and Communication Technologies. Abstract
Gouyon, F. (2005).  A computational approach to rhythm description --- Audio features for the computation of rhythm periodicity functions and their use in tempo induction and music content processing. Department of Information and Communication Technologies. Abstract
Gulati, S. (2016).  Computational Approaches for Melodic Description in Indian Art Music Corpora. Department of Information and Communication Technologies. 305. Abstract
Giraldo, S. (2016).  Computational Modelling of Expressive Music Performance in Jazz Guitar: A Machine Learning Approach. Department of Information and Communication Technologies. 158.
Gallardo, D. (2015).  Expanding tangible tabletop interfaces beyond the display. Information and Communication Technologies. 194. Abstract
Grachten, M. (2006).  Expressivity-aware Tempo Transformations of Music Performances Using Case Based Reasoning. Department of Information and Communication Technologies. Abstract
Bosch, J. (2017).  From Heuristics-Based to Data-Driven Audio Melody Extraction. Department of Information and Communication Technologies. Abstract
Salamon, J. (2013).  Melody Extraction from Polyphonic Music Signals. Department of Information and Communication Technologies. Abstract
Herrera, P. (2018).  MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR. Information and Communication Technologies. 241+xiii. Abstract
Sarasúa, Á. (2017).  Musical Interaction Based on the Conductor Metaphor. Department of Information and Communication Technologies. Abstract
Gómez-Marín, D. (2018).  Similarity and Style in Electronic Dance Music Drum Rhythms. Department of Information and Communications Technologies. Abstract
Miron, M. (2018).  Source Separation Methods for Orchestral Music: Timbre-Informed and Score-Informed Strategies. Department of Information and Communication Technologies. 299. Abstract
Gómez, E. (2006).  Tonal Description of Music Audio Signals. Department of Information and Communication Technologies. Abstract
Patent
Serra, X., Williams C., Gross R., & Wold E. (1996).  Method of and Apparatus for Analyzing and Synthesizing a Sound by Extracting and Controlling a Sound Parameter. Abstract
application/pdf iconUS5536902.pdf
Miscellaneous
Amatriain, X., Massaguer J., Garcia D., & Mosquera I. (2005).  The CLAM Annotator A Cross-platform Audio Descriptors Editing Tool. Abstract
Bogdanov, D., Haro G. G., Fuhrmann F., Xambó A., Gómez E., & Herrera P. (2011).  A Content-based System for Music Recommendation and Visualization of User Preferences Working on Semantic Notions. Abstract
application/pdf iconCBMI2011_poster.pdf
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