Biblio

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In Press
Nuttall, T., García-Casado M., Núñez-Tarifa V., Caro Repetto R., & Serra X. (In Press).  Contributing to new musicological theories with computational methods: The case of centonization in Arab-Andalusian music. 20th Conference of the International Society for Music Information Retrieval. Abstract
2019
Demirel, E., Bozkurt B., & Serra X. (2019).  Automatic Chord-Scale Recognition Using Harmonic Pitch Class Profiles. Sound and Music Computing Conference. 72-79. Abstract
Cuesta, H., Gómez E., & Chandna P. (2019).  A Framework for Multi-f0 Modeling in SATB Choir Recordings. Sound and Music Computing Conference. 447-453. Abstract
Gramunt, N., Desiré, Morera A., Gómez E., Herrera P., Nebot E., et al. (2019).  Lifesoundtrack: an intergenerational musical experience to promote wellbeing in people with dementia while increasing community awareness. 14th​ International Conference on Alzheimer's and Parkinson's Diseases. Abstract
Alonso-Jiménez, P., Joglar-Ongay L., Serra X., & Bogdanov D. (2019).  Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution. AES 146th Convention. Abstract
application/pdf iconPoster_Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution.pdf
Bogdanov, D., Won M., Tovstogan P., Porter A., & Serra X. (2019).  The MTG-Jamendo Dataset for Automatic Music Tagging. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019). Abstract
Blaauw, M., Bonada J., & Daido R. (2019).  Data Efficient Voice Cloning for Neural Singing Synthesis. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing.
Slizovskaia, O., Kim L., Haro G., & Gómez E. (2019).  End-to-End Sound Source Separation Conditioned On Instrument Labels. 2019 International Conference on Acoustics, Speech, and Signal Processing. Abstract
Fonseca, E., Plakal M., Ellis D. P. W., Font F., Favory X., & Serra X. (2019).  Learning Sound Event Classifiers from Web Audio with Noisy Labels. International Conference on Acoustics, Speech and Signal Processing (ICASSP). Abstract
Chandna, P., Blaauw M., Bonada J., & Gomez E. (2019).  A Vocoder Based Method For Singing Voice Extraction. 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019). Abstract
Blanco, A. D., & Ramirez R. (2019).  Evaluation of a Sound Quality Visual Feedback System for Bow Learning Technique in Violin Beginners: An EEG Study. Frontiers in Psychology. 10(Performance Science), 
Porcaro, L., & Saggion H. (2019).  Recognizing Musical Entities in User-generated Content. International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) 2019. Abstract
Sarasua, A., Urbano J., & Gomez E. (2019).  Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements. Frontiers on Digital Humanities.
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
Pons, J., & Serra X. (2019).  Randomly weighted CNNs for (music) audio classification. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019). Abstract
Ferraro, A., Bogdanov D., & Serra X. (2019).  Skip prediction using boosting trees based on acoustic features of tracks in sessions. WSDM Cup Workshop 2019. Abstract
Pons, J., Serrà J., & Serra X. (2019).  Training neural audio classifiers with few data. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019). Abstract
2018
Oramas, S., Bogdanov D., & Porter A. (2018).  MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets. MediaEval 2018 Workshop.
Bogdanov, D., Porter A., Urbano J., & Schreiber H. (2018).  The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2018 Workshop. Abstract
Caro Repetto, R., Pretto N., Chaachoo A., Bozkurt B., & Serra X. (2018).  An open corpus for the computational research of Arab-Andalusian music. 5th International Conference on Digital Libraries for Musicology (DLfM 2018). 78-86. Abstract
Baysal, O., Bozkurt B., Sağer T., & Doğrusöz N. (2018).  Towards a Hybrid Assessment Model For Music Conservatory Entrance Exams. 2nd Int. Conf. on Education and Learning. Abstract
application/pdf icon2018_1_Dakam_BaysalBozkurtSagerDogrusoz.pdf
Demirel, E., Bozkurt B., & Serra X. (2018).  Automatic makam recognition using chroma features. International Workshop on Folk Music Analysis. Abstract
Eremenko, V., Demirel E., Bozkurt B., & Serra X. (2018).  Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research. International Society for Music Information Retrieval Conference. Abstract
Kim, J., Won M., Serra X., & Liem C. C. S. (2018).  Transfer Learning of Artist Group Factors to Musical Genre Classification. WWW ’18 The Web Conference 2018. Abstract
Fonseca, E., Plakal M., Font F., Ellis D. P. W., Favory X., Pons J., et al. (2018).  General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline. Workshop on Detection and Classification of Acoustic Scenes and Events. Abstract
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