Biblio

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2019
Bogdanov, D., Porter A., Schreiber H., Urbano J., & Oramas S. (2019).  The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. 20th International Society for Music Information Retrieval Conference (ISMIR 2019). Abstract
Sarasua, A., Urbano J., & Gomez E. (2019).  Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements. Frontiers on Digital Humanities. Abstract
2018
Bogdanov, D., Porter A., Urbano J., & Schreiber H. (2018).  The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2018 Workshop. Abstract
2017
Bogdanov, D., Porter A., Urbano J., & Schreiber H. (2017).  The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2017 Workshop. Abstract
2016
Bonada, J., Umbert M., & Blaauw M. (2016).  Expressive Singing Synthesis Based on Unit Selection for the Singing Synthesis Challenge 2016. Interspeech. Abstract
application/pdf iconinterspeech-singing-challenge.pdf
Umbert, M. (2016).  Expression Control of Singing Voice Synthesis: Modeling Pitch and Dynamics with Unit Selection and Statistical Approaches. (Bonada, J., Xavier Serra, Ed.).Department of Information and Communication Technologies. 177. Abstract
application/pdf iconMartiUmbert_PhDThesis.pdf
McFee, B., Humphrey E. J., & Urbano J. (2016).  A Plan for Sustainable MIR Evaluation. International Society for Music Information Retrieval Conference. 285-291. Abstract
application/pdf icon070-plan-sustainable-mir-evaluation.pdf
Urbano, J. (2016).  Test Collection Reliability: A Study of Bias and Robustness to Statistical Assumptions via Stochastic Simulation. Information Retrieval Journal. 19(3), 313-350. Abstract
application/pdf icon064-test-collection-reliability-study-bias-robustness-statistical-assumptions-stochastic-simulation.pdf
Urbano, J., & Marrero M. (2016).  Toward Estimating the Rank Correlation between the Test Collection Results and the True System Performance. International ACM SIGIR Conference on Research and Development in Information Retrieval. 1033-1036. Abstract
application/pdf iconpostprint version
2015
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
Uyar, B., & Bozkurt B. (2015).  An Interactive Rhythm Training Tool for Usuls of Turkish Makam Music. 5th Int. Workshop on Folk Music Analysis (FMA). Abstract
Urbano, J., & Marrero M. (2015).  How do Gain and Discount Functions Affect the Correlation between DCG and User Satisfaction?. 37th European Conference on Information Retrieval. 197-202. Abstract
application/pdf icon062-how-gain-discount-functions-affect-correlation-system-effectiveness-user-satisfaction.pdf
Marrero, M., & Urbano J. (2015).  Information Extraction Grammars. 37th European Conference on Information Retrieval. 265-270. Abstract
application/pdf icon056-information-extraction-grammars.pdf
2014
Urbano, J., Bogdanov D., Herrera P., Gómez E., & Serra X. (2014).  What is the Effect of Audio Quality on the Robustness of MFCCs and Chroma Features?. 15th International Society for Music Information Retrieval Conference. 573-578. Abstract
application/pdf icon025-what-effect-audio-quality-robustness-mfcc-chroma-features.pdf
Atlı, H. S., Uyar B., Şentürk S., Bozkurt B., & Serra X. (2014).  Audio Feature Extraction for Exploring Turkish Makam Music. 3rd International Conference on Audio Technologies for Music and Media. Abstract
Uyar, B., Atlı H. S., Şentürk S., Bozkurt B., & Serra X. (2014).  A Corpus for Computational Research of Turkish Makam Music. 1st International Workshop on Digital Libraries for Musicology. 1-7. Abstract
Unal, E., Bozkurt B., & Karaosmanoglu K. M. (2014).  A Hierarchical Approach to Makam Classification of Turkish Makam Music, Using Symbolic Data. Journal of New Music Research. 43(1), 132-146. Abstract
Urbano, J. (2014).  MelodyShape at MIREX 2014 Symbolic Melodic Similarity. 10th Music Information Retrieval Evaluation eXchange.
application/pdf icon044-melodyshape-mirex-2014-symbolic-melodic-similarity.pdf
Schedl, M., Gómez E., & Urbano J. (2014).  Music Information Retrieval: Recent Developments and Applications. Foundations and Trends in Information Retrieval. 8(2-3), 127-261. Abstract
application/pdf icon059-music-information-retrieval-recent-developments-applications.pdf
2013
Umbert, M., Bonada J., & Blaauw M. (2013).  Systematic Database Creation for Expressive Singing Voice Synthesis Control. 8th ISCA Speech Synthesis Workshop (SSW8). 213-216. Abstract
application/pdf iconUmbertBonadaBlaauwSSW82013.pdf
Umbert, M., Bonada J., & Blaauw M. (2013).  Generating Singing Voice Expression Contours Based on Unit Selection. Stockholm Music Acoustics Conference. 315-320. Abstract
application/pdf iconUmbertBonadaBlaauwSMAC2013.pdf
Urbano, J., Schedl M., & Serra X. (2013).  Evaluation in Music Information Retrieval. Journal of Intelligent Information Systems. 41, 345-369. Abstract
application/pdf iconUrbano-Schedl-Serra-JIIS-2013.pdf
Urbano, J. (2013).  MIREX 2013 Symbolic Melodic Similarity: A Geometric Model supported with Hybrid Sequence Alignment. 9th Music Information Retrieval Evaluation eXchange (MIREX).
application/pdf icon060-mirex-2013-symbolic-melodic-similarity-geometric-model-supported-hybrid-sequence-alignment.pdf
2012
Unal, E., Bozkurt B., & Karaosmanoglu K. M. (2012).  Incorporating Features of Distribution and Progression for Automatic Makam Classification. 2nd CompMusic Workshop.
application/pdf icon2012_1_CMW_Unal_etAl.pdf
Salamon, J., & Urbano J. (2012).  Current Challenges in the Evaluation of Predominant Melody Extraction Algorithms. 13th International Society for Music Information Retrieval Conference (ISMIR 2012). Abstract
application/pdf iconSalamonUrbanoMelodyMetaeval_ISMIR12.pdf
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