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),  Abstract
Porcaro, L., & Saggion H. (2019).  Recognizing Musical Entities in User-generated Content. International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) 2019. Abstract
Porcaro, L., & Gómez E. (2019).  20 Years of Playlists: A Statistical Analysis on Popularity and Diversity. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). Abstract
Bogdanov, D., Porter A., Schreiber H., Urbano J., & Oramas S. (2019).  The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. 20th International Society for Music Information Retrieval Conference (ISMIR 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. 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
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
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