Biblio
] Filters: Author is Xavier Serra [Clear All Filters]
(2017). Knowledge Extraction and Representation Learning for Music Recommendation and Classification.
Department of Information and Communication Technologies. 203. Abstract
(2017). Aspects of tempo and rhythmic elaboration in Hindustani music: A corpus study.
Frontiers in Digital Humanities: Digital Musicology. 4, 20. Abstract
(2017). Designing Efficient Architectures for Modeling Temporal Features with Convolutional Neural Networks.
42th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017) . Abstract
(2017). The computational study of a musical culture through its digital traces.
Acta Musicologica. 89(1), 24-44. Abstract
(2017). Knowledge-based Probabilistic Modeling for Tracking Lyrics in Music Audio Signals.
Department of Information and Communication Technologies. Abstract
(2017). Sound Sharing and Retrieval.
Computational Analysis of Sound Scenes and Events. Abstract
(2016). Computational Approaches for Melodic Description in Indian Art Music Corpora.
Department of Information and Communication Technologies. 305. Abstract
(2016). Towards a multimodal knowledge base for Indian art music: A case study with melodic intonation.
Department of Information and Communication Technologies. 242. Abstract
(2016). Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment.
13th Sound and Music Computing Conference (SMC 2016). 434-441. Abstract
(2016). Pitch Contour Segmentation for Computer-aided Jingju Singing Training.
13th Sound and Music Computing Conference (SMC 2016). 172-178. Abstract
(2016). A Score-Informed Computational Description of Svaras Using a Statistical Model.
13th Sound and Music Computing Conference (SMC 2016). 427-433. 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
(2016). Discovering Rāga Motifs by Characterizing Communities in Networks of Melodic Patterns.
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016) . 286-290. Abstract
(2016). Melody Transcription Framework using Score Information for Noh Singing.
International Conference on Creative Content Technologies (CONTENT 2016). Abstract
(2016). Phrase-based Rāga Recognition Using Vector Space Modeling.
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016). 66-70. Abstract
(2016). A generalized Bayesian model for tracking long metrical cycles in acoustic music signals.
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016). 76-80. Abstract
(2016). NACTA: construyendo el futuro de la tradición del jingju.
Itinerarios, Espacios, Contextos: XIV congreso de la Sociedad de Etnomusicología, IX congreso de IASPM España. Abstract
(2016). Automatic Alignment of Long Syllables In A cappella Beijing Opera.
6th International Workshop on Folk Music Analysis (FMA 2016). 88-91. Abstract
(2016). Experimenting with Musically Motivated Convolutional Neural Networks.
14th International Workshop on Content-based Multimedia Indexing (CBMI 2016). Abstract
(2016). A Method for Structural Analysis of Ottoman-Turkish Makam Music Scores.
6th International Workshop on Folk Music Analysis (FMA 2016). 39-46. 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
(2016). MORTY: A Toolbox for Mode Recognition and Tonic Identification.
3rd International Digital Libraries for Musicology Workshop (DLfM 2016). 9-16. Abstract
(2016). A Data-driven Bayesian Approach to Automatic Rhythm Analysis of Indian Art Music.
Department of Information and Communication Technologies. 332. Abstract
(2016). Information Extraction for Knowledge Base Construction in the Music Domain.
Data & Knowledge Engineering. 106, 70-83. Abstract
(2016). Improving Audio Retrieval through Loudness Profile Categorization.
2016 IEEE International Symposium on Multimedia. 565-568. Abstract
