Biblio

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Conference Paper
Fonseca, E., Pons J., Favory X., Font F., Bogdanov D., Ferraro A., et al. (2017).  Freesound Datasets: A Platform for the Creation of Open Audio Datasets. 18th International Society for Music Information Retrieval Conference. 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
Cano, P., Koppenberger M., Wack N., G. Mahedero J., Masip J., Celma Ò., et al. (2005).  An Industrial-Strength Content-based Music Recommendation System. 28th Annual International ACM SIGIR Conference. 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
Oramas, S., Bogdanov D., & Porter A. (2018).  MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets. MediaEval 2018 Workshop.
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
Purwins, H., Blankertz B., & Obermayer K. (2000).  A new method for tracking modulations in tonal music in audio data format. International Joint Conference on Neural Network (IJCNN'00). 6, 270-275. Abstract
Kaltenbrunner, M., O'Modhrain S., & Costanza E. (2004).  Object Design Considerations for Tangible Musical Interfaces. Abstract
Normann, I., Purwins H., & Obermayer K. (2001).  Oktavambiguität als Konkurrenz zwischen Tonhöhe und Klangfarbe. DAGA. Abstract
Holzapfel, A., Davies M. E. P., Zapata J. R., Oliveira J., & Gouyon F. (2012).  On the automatic identification of difficult examples for beat tracking: towards building new evaluation datasets. The 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 89-92. Abstract
Speck, R., Röder M., Oramas S., Espinosa-Anke L., & Ngonga Ngomo A. (2017).  Open Knowledge Extraction Challenge 2017. Extended Semantic Web Conference (ESWC 2017).
Speck, R., Röder M., Oramas S., Espinosa-Anke L., & Ngonga Ngomo A. (2017).  Open Knowledge Extraction Challenge 2017. Extended Semantic Web Conference (ESWC 2017). Abstract
Oramas, S., & Cornelis O. (2012).  Past, Present and Future in Ethnomusicology: The Computational challenge. ISMIR late breaking demo session, 13th International Society of Music Information Retrieval. Abstract
application/pdf iconLBD11.pdf
Tizón, M., Gómez F., & Oramas S. (2013).  Perceived Emotions in Phrygian Mode In Musically Trained Children. 3rd International Conference in Music & Emotion. Abstract
Martínez, E., Adiloglu K., Anniés R., Purwins H., & Obermayer K. (2007).  Perceptual Representations for Classification of Everyday Sounds. Audio Mostly . 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
Gong, R., Cuvillier P., Obin N., & Cont A. (2015).  Real-Time Audio-to-Score Alignment of Singing Voice Based on Melody and Lyric Information. Interspeech 2015. Abstract
application/pdf iconInterspeech_RG_2015.pdf
Romaní Picas, O., Parra Rodriguez H., Dabiri D., Tokuda H., Hariya W., Oishi K., et al. (2015).  A real-time system for measuring sound goodness in instrumental sounds. AES 138th Convention. Abstract
Väljamäe, A., Mealla S., Steffert T., Holland S., Marimon X., Oliveira A., et al. (2013).  A Review Of Real-Time Eeg Sonification Research. The 19th International Conference on Auditory Display (ICAD-2013).
Mealla, S., Oliveira A., Marimon X., Steffert T., Jordà S., & Väljamäe A. (2014).  The Role of Personalization and Multiple EEG and Sound Features Selection in Real Time Sonification for Neurofeedback. International Conference on Physiological Computing Systems.
application/pdf iconMealla37_PhyCS_camera_ready.pdf
Oramas, S., Sordo M., & Espinosa-Anke L. (2015).  A Rule-Based Approach to Extracting Relations from Music Tidbits. 2nd Workshop on Knowledge Extraction from Text, WWW 2015. Abstract
application/pdf iconsoramas_msordo_lespinsosa_ket2015.pdf
Purwins, H., Blankertz B., Dornhege G., & Obermayer K. (2004).  Scale Degree Profiles from Audio Investigated with Machine Learning. Audio Engineering Society Convention. Abstract
Gong, R., Obin N., Dzhambazov G., & Serra X. (2017).  Score-Informed Syllable Segmentation for Jingju a Cappella Singing Voice with Mel-Frequency Intensity Profiles. International Workshop on Folk Music Analysis. 107-113. Abstract
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
Ong, B., & Herrera P. (2005).  Semantic Segmentation Of Music Audio Contents. International Computer Music Conference. Abstract
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