Biblio
] Filters: Keyword is music information retrieval [Clear All Filters]
(2013). From music similarity to music recommendation: Computational approaches based on audio features and metadata.
Department of Information and Communication Technologies. 227.
(2016). Music Information Retrieval:
Overview, Recent Developments and Future Challenges.
17th International Society for Music Information Retrieval (ISMIR) Conference. 11-12. Abstract
(2011). Integrating Different Knowledge Sources for the Computational Modeling of Flamenco Music.
(, Ed.).Multimodal Music Processing (Dagstuhl Seminar 11041) - Dagstuhl Reports. 1(1), 82-83. Abstract
(2009). Music and geography: content description of musical audio from different parts of the world.
10th International Society for Music Information Retrieval Conference. Abstract
(2016). Computational Approaches for Melodic Description in Indian Art Music Corpora.
Department of Information and Communication Technologies. 305. Abstract
(2009). From Low-level to Song-level Percussion Descriptors of Polyphonic Music.
10th International Society for Music Information Retrieval Conference. Abstract
(2013). Caracterización automática del cante flamenco a base de análisis de grabaciones..
Investigación y Flamenco (INFLA).
(2009). Automatic Detection of Emotion in Music: Interaction with Emotionally Sensitive Machines.
(, Ed.).Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence. 9-32.
(2016). Melodic Contour and Mid-Level Global Features Applied to the Analysis of Flamenco Cantes.
Journal of New Music Research . Abstract
(2016). ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain.
Language Resources and Evaluation Conference (LREC 2016). 3312-3317. Abstract
(2015). A Rule-Based Approach to Extracting Relations from Music Tidbits.
2nd Workshop on Knowledge Extraction from Text, WWW 2015. Abstract
(2013). Melody Extraction from Polyphonic Music Signals.
Department of Information and Communication Technologies. Abstract
(2016). Computational Analysis of Audio Recordings and Music Scores for the Description and Discovery of Ottoman-Turkish Makam Music.
Department of Information and Communication Technologies. 357. Abstract
(2011). Nonlinear audio recurrence analysis with application to genre classification.
IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP). 169-172. Abstract
(2012). Data Gathering for a Culture Specific Approach in MIR.
21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012). 867-868. Abstract
(2017). The computational study of a musical culture through its digital traces.
Acta Musicologica. 89(1), 24-44. Abstract
(2011). Identification of versions of the same musical composition by processing audio descriptions.
Department of Information and Communication Technologies. 154. Abstract
(2016). A Data-driven Bayesian Approach to Automatic Rhythm Analysis of Indian Art Music.
Department of Information and Communication Technologies. 332. Abstract
(2015). Correlations Between Musical Descriptors and Emotions Recognized in Beethoven’s Eroica.
Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM). Abstract
(2013). Evaluation in Music Information Retrieval.
Journal of Intelligent Information Systems. 41, 345-369. Abstract
