Biblio

Export 36 results:
Sort by: [ Author (Desc)] Title Type Year
Filters: First Letter Of Last Name is O  [Clear All Filters]
A B C D E F G H I J K L M N [O] P Q R S T U V W X Y Z   [Show ALL]
Ö
Özer, S. (2015).  F0 Modeling For Singing Voice Synthesizers with LSTM Recurrent Neural Networks. Abstract
application/pdf iconSerkan-Ozer-Master-thesis-2015.pdf
Özaslan, T., Serra X., & Arcos J. L. (2012).  Signal Analysis of Ney Performances. 2nd CompMusic Workshop. Abstract
Özaslan, T. (2009).  Expressive Analysis of Violin Performers. Abstract
Özaslan, T. (2013).  Computational Analysis of Expressivity in Classical Guitar Performances. Department of Information and Communication Technologies. 97. Abstract
Özaslan, T., Serra X., & Arcos J. L. (2012).  Characterization of Embellishments in Ney Performances of Makam Music in Turkey. 13th International Society for Music Information Retrieval Conference (ISMIR 2012). 13-18. Abstract
O
Ostuni, V. C., Oramas S., Di Noia T., Serra X., & Di Sciascio E. (2015).  A Semantic Hybrid Approach for Sound Recommendation. 24th International World Wide Web Conference (WWW 2015). Abstract
application/pdf iconmain.pdf
Ortolà, J. (2001).  Musical and phonetic controls in a singing voice synthesizer. Abstract
Ortolà, J. (2000).  Expressivitat musical en un sintetitzador de veu cantada. Abstract
Ortega, F. J. M., Giraldo S. I., & Ramirez R. (2017).  Bowing Modeling for Violin Students Assistance. Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education. 60–62. Abstract
Ortega, F. J. M., Giraldo S. I., & Ramirez R. (2017).  Phrase-Level Modeling of Expression in Violin Performances. Proceedings of the 10th International Workshop on Machine Learning and Music. 49–54. Abstract
Ortega, F. J. M., Giraldo S. I., Perez A., & Ramírez R. (2019).  Phrase-Level Modeling of Expression in Violin Performances. Frontiers in Psychology. 10, 776. Abstract
Oramas, S., Nieto O., Barbieri F., & Serra X. (2017).  Multi-label Music Genre Classification from Audio, Text and Images Using Deep Features. 18th International Society for Music Information Retrieval Conference (ISMIR 2017). Abstract
Oramas, S., Espinosa-Anke L., Lawlor A., Serra X., & Saggion H. (2016).  Exploring Customer Reviews for Music Genre Classification and Evolutionary Studies. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 150-156. Abstract
Oramas, S., Gómez F., Gómez E., & Mora J. (2015).  FlaBase: Towards the Creation of a Flamenco Music Knowledge Base. 16th International Society for Music Information Retrieval Conference. Abstract
application/pdf iconflabase.pdf
Oramas, S., Espinosa-Anke L., Gómez F., & Serra X. (2018).  Natural Language Processing for Music Knowledge Discovery. Journal of New Music Research. Abstract
Oramas, S., Nieto O., Sordo M., & Serra X. (2017).  A Deep Multimodal Approach for Cold-start Music Recommendation. 2nd Workshop on Deep Learning for Recommender Systems, at RecSys 2017. Abstract
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
Oramas, S., Sordo M., Espinosa-Anke L., & Serra X. (2015).  A Semantic-based Approach for Artist Similarity. 16th International Society for Music Information Retrieval Conference. 100-106. Abstract
application/pdf iconpostprint version
Oramas, S., Sordo M., & Serra X. (2014).  Automatic Creation of Knowledge Graphs from Digital Musical Document Libraries. Conference in Interdisciplinary Musicology. Abstract
application/pdf iconCIM14_MAIN.pdf
Oramas, S., Barbieri F., Nieto O., & Serra X. (2018).  Multimodal Deep Learning for Music Genre Classification. Transactions of the International Society for Music Information Retrieval. 1(1), 4-21. Abstract
Oramas, S. (2014).  Harvesting and Structuring Social Data in Music Information Retrieval. Extended Semantic Web Conference (ESWC 2014). Abstract
application/pdf iconPhD_Prop_SergioOramas.pdf
Oramas, S. (2017).  Knowledge Extraction and Representation Learning for Music Recommendation and Classification. Department of Information and Communication Technologies. 203. Abstract
Oramas, S., Ostuni V. C., Di Noia T., Serra X., & Di Sciascio E. (2016).  Sound and Music Recommendation with Knowledge Graphs. ACM Transactions on Intelligent Systems and Technology (TIST). 8(2), 1-21. Abstract
Oramas, S., Espinosa-Anke L., Sordo M., Saggion H., & Serra X. (2016).  ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain. Language Resources and Evaluation Conference (LREC 2016). 3312-3317. Abstract
Oramas, S., & Sordo M. (2015).  Knowledge Acquisition from Music Digital Libraries. International Association of Music Libraries and International Musicological Society IAML/IMS Conference. Abstract
application/pdf iconPresentation slides
intranet