Biblio

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A
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
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
C
Yoshioka, Y., & Serra X. (2006).  Converting Apparatus of Voice Signal by Modulation of Frequencies and Amplitudes of Sinusoidal Wave Components. Abstract
application/pdf iconUS7117154.pdf
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
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
E
Umbert, M. (2010).  Emotional Speech Synthesis for a Radio DJ: Corpus Design and Expression Modeling. Abstract
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
Gouyon, F., Klapuri A., Dixon S., Alonso M., Tzanetakis G., Uhle C., et al. (2006).  An experimental comparison of audio tempo induction algorithms. IEEE Transactions on Speech and Audio Processing. 14, 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
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
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
G
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
H
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., & 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
I
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
Marrero, M., & Urbano J. (2015).  Information Extraction Grammars. 37th European Conference on Information Retrieval. 265-270. Abstract
application/pdf icon056-information-extraction-grammars.pdf
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
L
Pratyush, Umbert M., & Serra X. (2010).  A look into the past: Analysis of trends and topics in the Sound & Music Computing Conference. Sound and Music Computing Conference. Abstract
M
Sarasua, A., Urbano J., & Gomez E. (2019).  Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements. Frontiers on Digital Humanities. Abstract
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
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
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
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
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
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
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