Biblio

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Adiloglu, K., Anniés R., Purwins H., & Obermayer K. (2009).  Visualisation and Measurement Assisted Design . Abstract
application/pdf iconAdiloglu_et_al_CLOSED_Deliverable5.2.pdf
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Camurri, A., Volpe G., Vinet H., Bresin R., Maestre E., Llop J., et al. (2009).  User­-centric context­-aware mobile applications for embodied music listening. International ICST Conference on User Centric Media.
Schedl, M., Stober S., Gómez E., Orio N., & Liem C. C. S. (2012).  User-Aware Music Retrieval. (Müller, M., Goto, M., Markus Schedl, Ed.).Multimodal Music Processing. 3, 135-156.
Purwins, H., Normann I., & Obermayer K. (2005).  Unendlichkeit - Konstruktion akustischer Paradoxien. (Manfred Stahnke, Ed.).Mikrotöne und mehr – Auf György Ligetis Hamburger Pfaden. 39-80.
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Pikrakis, A., Gómez F., Oramas S., Díaz-Báñez J. M., Mora J., Escobar Borrego F., et al. (2012).  Tracking Melodic Patterns in Flamenco Singing by Analyzing Polyphonic Music Recordings. 13th International Society for Music Information Retrieval Conference (ISMIR 2012). Abstract
application/pdf iconPattern-Flamenco-ISMIR2012.pdf
Ong, B. (2005).  Towards Automatic Music Structural Analysis Identifying Characteristic Within-Song Excerpts in Popular Music. Abstract
Blankertz, B., Purwins H., & Obermayer K. (1999).  Toroidal models of inter-key relations in tonal music. VI. International Conference on Systematic and Comparative Musicology. Abstract
Purwins, H., Blankertz B., & Obermayer K. (2007).  Toroidal Models in Tonal Theory and Pitch-Class Analysis. Computing in Musicology (Tonal Theory for the Digital Age ). 15, 73–98. Abstract
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Ong, B. (2007).  Structural Analysis and Segmentation of Music Signals. Department of Information and Communication Technologies. Abstract
application/pdf iconThesis document
Normann, I., Purwins H., & Obermayer K. (2001).  Spectrum of Pitch Differences Models the Perception of Octave Ambiguous Tones. International Computer Music Conference. 274-276. 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
Bonada, J., Celma Ò., Loscos A., Ortolà J., & Serra X. (2001).  Singing Voice Synthesis Combining Excitation plus Resonance and Sinusoidal plus Residual Models. International Computer Music Conference. Abstract
Özaslan, T., Serra X., & Arcos J. L. (2012).  Signal Analysis of Ney Performances. 2nd CompMusic Workshop. 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
Ong, B., & Herrera P. (2005).  Semantic Segmentation Of Music Audio Contents. International Computer Music Conference. 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
Holzapfel, A., Davies M. E. P., Zapata J. R., Oliveira J., & Gouyon F. (2012).  Selective sampling for beat tracking evaluation. IEEE Transactions on Audio Speech and Language Processing. Abstract
application/pdf iconHolzapfelEtAl12-taslp.pdf
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
Purwins, H., Blankertz B., Dornhege G., & Obermayer K. (2004).  Scale Degree Profiles from Audio Investigated with Machine Learning. Audio Engineering Society Convention. Abstract
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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
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
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).
Adiloglu, K., Anniés R., Purwins H., & Obermayer K. (2008).  Representations and Predictors for Everyday Sounds .
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
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
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