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
Porcaro, L., & Gómez E. (2019).  A Model for Evaluating Popularity and Semantic Information Variations in Radio Listening Sessions. 1st Workshop on the Impact of Recommender Systems (ImpactRS), at the 13th ACM Conference on Recommender Systems (RecSys 2019). Abstract
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
Cimarone, L., Bozkurt B., & Serra X. (2019).  Automatic Dastgah Recognition Using Markov Models. 14th International Symposium on Computer Music Multidisciplinary Research (CMMR). 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
Pérez-López, A., & Stefanakis N. (2019).  Analysis of spherical isotropic noise fields with an A-Format tetrahedral microphone.. The Journal of the Acoustical Society of America. EL329–EL334. Abstract
Meléndez-Catalán, B., Molina E., & Gómez E. (2019).  Open Broadcast Media Audio from TV: A Dataset of TV Broadcast Audio with Relative Music Loudness Annotations. Transactions of the International Society for Music Information Retrieval (TISMIR). 2(1), 43-51. 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
Falcão, F., Bozkurt B., Serra X., Andrade N., & Baysal O. (2019).  A Dataset of Rhythmic Pattern Reproductions and Baseline Automatic Assessment System. 20th International Society for Music Information Retrieval Conference (ISMIR 2019). Abstract
Ramires, A., & Serra X. (2019).  Data augmentation for instrument classification robust to audio effects. 22nd International Conference on Digital Audio Effects (DAFx-19). Abstract
Jones, M. K. (2019).  Acoustic Scene Classification using Convolutional Neural Networks on Multivariate Audio. Abstract
Badenas, V. (2019).  Audio Problems Detection on Sound Collections. Abstract
Puranik, N. V. (2019).  Automatic Assessment of Singing. Abstract
Luque, S. R. (2019).  Automatic Detection of Flamenco Singing Vocal Resources. Abstract
Can, C. (2019).  Automatic Discrimination of Domestic Cat Sounds and Imitations. Abstract
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