Biblio

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Conference Paper
Roma, G., Xambó A., Herrera P., & Laney R. (2012).  Factors in human recognition of timbre lexicons generated by data clustering. Sound and Music Computing Conference (SMC2012). Abstract
application/pdf iconsmc2012_submission_199.pdf
Bonada, J., Blaauw M., & Loscos A. (2006).  Improvements to a Sample-Concatenation Based Singing Voice Synthesizer. Abstract
Arcos, J. L., Lopez de Mantaras R., & Serra X. (1998).  Integrating background musical knowledge in a CBR system for generating expressive musical performances. AAAI'98 Workshop on CBR Integrations. 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
Cano, P., Koppenberger M., Le Groux S., Ricard J., & Wack N. (2004).  Knowledge and Content-based Audio Retrieval using WordNet. International Conference on E-business and Telecommunication Networks (ICETE). Abstract
Loscos, A., & Celma Ò. (2005).  Larynxophone Using Voice As A Wind Controller. Abstract
Loscos, A., Wang Y., & Boo J. (2006).  Low Level Descriptors for Automatic Violin Transcription. Abstract
Loscos, A., Cano P., & Bonada J. (1999).  Low-Delay Singing Voice Alignment to Text. International Computer Music Conference. Abstract
Ganguli, K. K., Lele A., Pinjani S., Rao P., Srinivasamurthy A., & Gulati S. (2017).  Melodic Shape Stylization for Robust and Efficient Motif Detection in Hindustani Vocal Music. National Conference for Communications. Abstract
application/pdf iconGanguli-et-al-NCC-2017.pdf
Laurier, C., Sordo M., & Herrera P. (2009).  Mood Cloud 2.0: Music Mood Browsing based on Social Networks. International Society for Music Information Research Conference (ISMIR). Abstract
application/pdf iconLaurier-ISMIR-LBD-2009.pdf
Laurier, C., & Herrera P. (2008).  Mood Cloud : A Real-Time Music Mood Visualization Tool. CMMR, Computer Music Modeling and Retrieval. Abstract
Janer, J., & Loscos A. (2005).  Morphing techniques for enhanced scat singing. Abstract
Troncy, R., Celma Ò., Little S., García R., & Tsinaraki C. (2007).  MPEG-7 based Multimedia Ontologies: Interoperability Support or Interoperability Issue?. 1st Workshop on Multimedia Annotation and Retrieval enabled by Shared Ontologies. Abstract
Xambó, A., Laney R., Dobbyn C., & Jordà S. (2011).  Multi-touch interaction principles for collaborative real-time music activities: towards a pattern language. International Computer Music Conference.
Fernández-Macías, E., Gomez E., Hernández-Orallo J., Loe B. - S., Martens B., Martínez-Plumed F., et al. (2018).  A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work. Workshop on architectures and evaluation for generality, autonomy and progress in AI, IJCAI-ECAI 2018, AAMAS 2018 AND ICML 2018.
Laurier, C., Grivolla J., & Herrera P. (2008).  Multimodal Music Mood Classification using Audio and Lyrics. International Conference on Machine Learning and Applications. Abstract
Bischoff, K., Firan C., Paiu R., Nejdl W., Laurier C., & Sordo M. (2009).  Music Mood and Theme Classification a Hybrid Approach. Conference of the International Society for Music Information Retrieval (ISMIR). Abstract
Laurier, C., Meyers O., Serrà J., Blech M., & Herrera P. (2009).  Music Mood Annotator Design and Integration. 7th International Workshop on Content-Based Multimedia Indexing. Abstract
Laurier, C., Sordo M., Serrà J., & Herrera P. (2009).  Music Mood Representations from Social Tags. International Society for Music Information Retrieval (ISMIR) Conference. 381-386. Abstract
Mayor, O., Meyers O., Laurier C., & Koppenberger M. (2009).  MyMTV: A personalized and interactive music channel. Conference of the International Society for Music Information Research (ISMIR), Demo session.. Abstract
Cano, P., Koppenberger M., Le Groux S., Ricard J., Herrera P., & Wack N. (2004).  Nearest-neighbor generic sound classification with a wordnet-based taxonomy. Abstract
Guaus, E., Saña O., & Llimona Q. (2013).  Observed Differences in Rhythm between Performances of Classical and Jazz Violin Students. Stockholm Music Acoustics Conference 2013 and Sound and Music Computing Conference 2013. Abstract
application/pdf iconphenicx_guaus_SMAC13.pdf
Ferraro, A., & Lemstöm K. (2018).  On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns. 5th International Conference on Digital Libraries for Musicology.
Mayor, O., Bonada J., & Loscos A. (2009).  Performance Analysis and Scoring of the Singing Voice. AES 35th International Conference: Audio for Games. Abstract
Schedl, M., Melenhorst M., Liem C., Martorell A., Mayor O., & Tkalčič M. (2016).  A personality-based adaptive system for visualizing classical music performances. 7th International Conference on Multimedia Systems (MMSys'16). Abstract
application/pdf iconA personality-based adaptive system for visualizing classical music performances
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