Biblio

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Z
Zapata, J. R., & Gómez E. (2012).  Improving Beat Tracking in the presence of highly predominant vocals using source separation techniques: Preliminary study. The 9th International Symposium on Computer Music Modeling and Retrieval (CMMR) . 583-590.
application/pdf iconBeatracking_with_source_separation_Jose_Zapata.pdf
W
Weigl, D. M., Goebl W., Crawford T., Gkiokas A., Gutierrez N. F., Porter A., et al. (2019).  Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment. 6th International Conference on Digital Libraries for Musicology. Abstract
V
Vogl, R., Leimeister M., Nuanáin C. Ó., Jordà S., Hlatky M., & Knees P. (2016).  An Intelligent Interface for Drum Pattern Variation and Comparative Evaluation of Algorithms. Journal of the Audio Engineering Society. 64(7/8), 503-513.
application/pdf icon18336.pdf
Vaquero, C. (2012).  Improving the description of instrumental sounds by using ontologies and automatic content analysis. Abstract
application/pdf iconCarlos-Vaquero-Master-Thesis-2012.pdf
Vamvakousis, Z., & Ramirez R. (2015).  Is an auditory P300-based Brain-Computer Musical Interface feasible?. CMMR2015: International Workshop on BCMI.
application/pdf iconFull Paper
U
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
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
S
Stowell, D., Musevic S., Bonada J., & Plumbey M. (2013).  Improved Multiple Birdsong Tracking with Distribution Derivative Method and Markov Renewal Process Clustering. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
Srinivasamurthy, A., Holzapfel A., & Serra X. (2014).  In Search of Automatic Rhythm Analysis Methods for Turkish and Indian Art Music. Journal of New Music Research. 43(1), 94-114. Abstract
Srinivasamurthy, A., Holzapfel A., & Serra X. (2017).  Informed Automatic Meter Analysis of Music Recordings. 18th International Society for Music Information Retrieval (ISMIR) Conference. 679-685. Abstract
Sordo, M., Gouyon F., Sarmento L., Celma Ò., & Serra X. (2013).  Inferring Semantic Facets of a Music Folksonomy with Wikipedia. Journal of New Music Research. 42(4), 346-363. Abstract
Serrà, J. (2011).  Identification of versions of the same musical composition by processing audio descriptions. Department of Information and Communication Technologies. 154. Abstract
application/pdf iconThesis document
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
Serra, X., Bonada J., Herrera P., & Loureiro R. (1997).  Integrating Complementary Spectral Models in the Design of a Musical Synthesizer. International Computer Music Conference. Abstract
Schedl, M., Yang Y., & Herrera P. (2016).  Introduction to Intelligent Music Systems and Applications. ACM Transactions on Intelligent Systems and Applications. 8(2), 17:1-17:8.
R
Ramirez, R., Maestre E., & Pertusa A. (2007).  Identifying saxophonists from their playing styles. 30th AES Conference. Abstract
Ramirez, R., Hazan A., & Maestre E. (2005).  Intra-note Features Prediction Model for Jazz Saxophone Performance. International Computer Music Conference. Abstract
Ramirez, R. (2004).  Inductive Logic Programming and Music.
P
Pilaszanovich, J. (2013).  Integrating an Automatic Tonal Expert Agent into a Real-time Music Environment. Abstract
application/pdf iconJakab-Pilaszanovich-Master-Thesis-2013.pdf
Peeters, G., McAdams S., & Herrera P. (2000).  Instrument Description in the Context of MPEG-7. Abstract
Parekh, S. (2015).  Improving Audio Retrieval through Content and Metadata Categorization. Abstract
application/pdf iconSanjeel-Parekh-Master-thesis-2015.pdf
Parekh, S., Font F., & Serra X. (2016).  Improving Audio Retrieval through Loudness Profile Categorization. 2016 IEEE International Symposium on Multimedia. 565-568. Abstract
application/pdf iconpostprint version
O
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
N
Nuanáin, C. Ó., Jordà S., & Herrera P. (2016).  An Interactive Software Instrument for Real-time Rhythmic Concatenative Synthesis. 16th International Conference on New Interfaces for Musical Expression (NIME 2016). 383-387. Abstract
Neuschmied, H., Mayer H., & Batlle E. (2001).  Identification of Audio Titles on Internet. Abstract
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