Biblio

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2017
Siquier Peñafort, M. (2017).  Computational modelling of expressive music performance in hexaphonic guitar. Abstract
Serra, X. (2017).  The computational study of a musical culture through its digital traces. Acta Musicologica. 89(1), 24-44. Abstract
Miron, M., & Slizovskaia O. (2017).  Convolutional neural networks for audio processing: starting pack. Pydata Barcelona.
Alonso-Jiménez, P. (2017).  Cross-Lingual Voice Conversion with Non-Parallel Data. Abstract
Bosch, J. (2017).  From Heuristics-Based to Data-Driven Audio Melody Extraction. Department of Information and Communication Technologies. Abstract
Jarjoura, J. (2017).  Fusion of musical contents, brain activity and short term physiological signals for music-emotion recognition. Abstract
Loáiciga Espeleta, F. (2017).  High Resolution Audio Analysis From A Music Information Retrieval Perspective. Abstract
Munday, J. (2017).  Interfaces for Improvising with a Jazz Melody Generation System. Abstract
Dzhambazov, G. (2017).  Knowledge-based Probabilistic Modeling for Tracking Lyrics in Music Audio Signals. Department of Information and Communication Technologies. Abstract
Troes, T. (2017).  Measuring groove: A Computational Analysis of Timing and Dynamics in Drum Recordings. Abstract
Sarasúa, Á. (2017).  Musical Interaction Based on the Conductor Metaphor. Department of Information and Communication Technologies. Abstract
Delgado, N. (2017).  Neural Correlates of Music and Emotion in ASD and Typical Children. Abstract
Schedl, M., Gómez E., Trent E., Tkalcic M., Zadeh H. E., & Martorell A. (2017).  On the Interrelation between Listener Characteristics and the Perception of Emotion in Classical Orchestra Music. IEEE Transactions on Affective Computing. 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
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
Cuesta, H. (2017).  Pitch Estimation of Choir Music using Deep Learning Strategies: from Solo to Unison Recordings. Abstract
Arredondo Garrido, J. (2017).  Retrieval of Drum Samples by High-Level Descriptors. Abstract
Correya, A. A. (2017).  Retrieving Ambiguous Sounds Using Perceptual Timbral Attributes in Audio Production Environments. Abstract
Gajecki Somervail, T. (2017).  Singing Vocal Enhancement for Cochlear Implant Users Based on Deep Learning Models. Abstract
Font, F., Roma G., & Serra X. (2017).  Sound Sharing and Retrieval. Computational Analysis of Sound Scenes and Events. Abstract
Fernandez Blanco, P. (2017).  Study of biomechamics in violin performances with kinect and its relationship with Sound. Abstract
Won, M. (2017).  Understanding Internal Semantics of Deep Learning Models for Electronic Music. Abstract
2016
Gulati, S. (2016).  Computational Approaches for Melodic Description in Indian Art Music Corpora. Department of Information and Communication Technologies. 305. Abstract
application/pdf iconPhD defense slides (70 MB)
Koduri, G. K. (2016).  Towards a multimodal knowledge base for Indian art music: A case study with melodic intonation. Department of Information and Communication Technologies. 242. Abstract
application/pdf iconthesis.pdf
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