Biblio

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Cavdir, D., Romaní Picas O., Bandiera G., & Serra X. (2016).  Vibrato Analysis Dataset, Detection and Parameterization. Abstract
Celma, Ò., Dasiopoulou S., Hausenblas M., Little S., Tsinaraki C., & Troncy R. (2007).  MPEG-7 and the Semantic Web. W3C.
Celma, Ò. (2001).  Model d'Expressivitat per un Sintetitzador de Veu Cantada. Abstract
Celma, Ò., Ramírez M., & Herrera P. (2004).  Semantic interaction with music content using FOAF. Proceedings of 1st Workshop on Friend of a Friend, Social Networking and the Semantic Web. Abstract
Celma, Ò. (2006).  Foafing the Music Bridging the semantic gap in music recommendation. 5th International Semantic Web Conference (ISWC). Abstract
Celma, Ò., Gómez E., Janer J., Gouyon F., Herrera P., & Garcia D. (2004).  Tools for Content-Based Retrieval and Transformation of Audio Using MPEG-7 The SPOffline and the MDTools. 25th AES International Conference. Metadata for Audio. Abstract
Celma, Ò. (2008).  Music Recommendation and Discovery in the Long Tail. Department of Information and Communication Technologies. Abstract
Celma, Ò., & Mieza E. (2004).  An Opera Information System Based on MPEG-7. 5th International Conference on Music Information Retrieval (ISMIR). Abstract
Celma, Ò., Ramirez R., & Herrera P. (2005).  Foafing the music: A music recommendation system based on RSS feeds and user preferences. 6th International Conference on Music Information Retrieval (ISMIR). 464-467. Abstract
Celma, Ò., Ramirez R., & Herrera P. (2005).  Getting music recommendations and filtering newsfeeds from FOAF descriptions. 1st Workshop on Scripting for the Semantic Web co-located with the 2nd European Semantic Web Conference). Abstract
Celma, Ò. (2004).  Architecture for an MPEG-7 Web Browser. 5th International Conference on Music Information Retrieval (ISMIR). Abstract
Celma, Ò. (2006).  Music Recommendation: A multi-faceted approach. Abstract
Celma, Ò., & Cano P. (2008).  From hits to niches? or how popular artists can bias music recommendation and discovery. 2nd Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition (ACM KDD). Abstract
Celma, Ò., Herrera P., & Serra X. (2006).  Bridging the Music Semantic Gap. Workshop on Mastering the Gap: From Information Extraction to Semantic Representation. 187, Abstract
Celma, Ò., & Raimond Y. (2008).  ZemPod: A semantic web approach to podcasting. Journal of Web Semantics. 6(2), 162-169. Abstract
Celma, Ò., Cano P., & Herrera P. (2006).  Search Sounds An audio crawler focused on weblogs. 7th International Conference on Music Information Retrieval (ISMIR). Abstract
Celma, Ò., & Herrera P. (2008).  A New Approach to Evaluating Novel Recommendations. 2008 ACM Conference on Recommender Systems. Abstract
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Chandna, P., Miron M., Janer J., & Gómez E. (2017).  Monoaural Audio Source Separation Using Deep Convolutional Neural Networks. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA ICA2017).
application/pdf iconmonoaural-audio-source.pdf
Chandna, P. (2016).  Audio Source Separation Using Deep Neural Networks. Abstract
application/pdf iconPritish-Chandna-Master-thesis-2016.pdf
Chandna, P., Blaauw M., Bonada J., & Gomez E. (2019).  A Vocoder Based Method For Singing Voice Extraction. 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019). Abstract
Chen, G., Wang T. - G., & Herrera P. (2008).  Relevance Feedback in An Adaptive Space with One-Class SVM for Content-Based Music Retrieval. IEEE International Conference on Audio, Language and Image Processing 2008. Abstract
Chen, G., Wang T. - G., & Herrera P. (2008).  A Novel Music Retrieval System with Relevance Feedback. Third International Conference on Innovative Computing, Information and Control. Abstract
Chen, J. (2013).  Gesture Analysis and Recognition of Bow-Stringed Instruments using Motion Capture System Qualisys. Abstract
Chen, K. (2013).  Characterization of Pitch Intonation of Beijing Opera. Abstract
application/pdf iconKainan-Chen-Master-Thesis-2013.pdf
Chen, G., Wang T. - G., Gong L., & Herrera P. (2010).  Multi-Class Support Vector Machine Active Learning for Music Annotation. International Journal of Innovative Computing, Information and Control. 921-930. Abstract
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