Biblio

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Journal Article
Gómez, E., & Bonada J. (2013).  Towards Computer-Assisted Flamenco Transcription: An Experimental Comparison of Automatic Transcription Algorithms As Applied to A Cappella Singing. Computer Music Journal. 37(2), 73-90.
Master Thesis
Gómez, E. (2002).  Melodic Description of Audio Signals for Music Content Processing. Abstract
Gómez, E. (2000).  Tatouage de Signaux de Musique (Méthodes de synchronisation).
Miscellaneous
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
Serrà, J., & Gómez E. (2007).  A cover song identification system based on sequences of tonal descriptors. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Herrera, P., Serrà J., Laurier C., Guaus E., Gómez E., & Serra X. (2009).  The Discipline formerly known as MIR. International Society for Music Information Retrieval (ISMIR) Conference, special session on The Future of MIR (fMIR). Abstract
Serrà, J., Gómez E., & Herrera P. (2008).  Improving binary similarity and local alignment for cover song detection. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Gómez, E. (2005).  Key estimation from polyphonic audio. Abstract
Salamon, J., & Gómez E. (2010).  Melody Extraction from Polyphonic Music Audio. 5th Music Information Retrieval Evaluation eXchange (MIREX 2010) extended abstract.
Salamon, J., & Gómez E. (2011).  Melody Extraction from Polyphonic Music: MIREX 2011. 6th Music Information Retrieval Evaluation eXchange (MIREX 2011) extended abstract. Abstract
application/pdf iconSalamonGomezMIREX2011.pdf
Wack, N., Laurier C., Meyers O., Marxer R., Bogdanov D., Serrà J., et al. (2010).  Music classification using high-level models. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
application/pdf iconWLB1.pdf
PhD Thesis
Zapata, J. R. (2013).  Comparative evaluation and combination of automatic rhythm description systems. 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
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
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
Unpublished
Cuesta, H., & Gómez E. (2017).  Automatic Pitch Estimation in Choir Singing Recordings using Deep Learning Strategies.
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