Biblio
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(2019). A Framework for Multi-f0 Modeling in SATB Choir Recordings.
Sound and Music Computing Conference. 447-453. Abstract
(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
(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
(2019). The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement.
Workshop-Symposium on Research Methods in Music and Emotion. Abstract
(2019). End-to-End Sound Source Separation Conditioned On Instrument Labels.
2019 International Conference on Acoustics, Speech, and Signal Processing. Abstract
(2019). A Vocoder Based Method For Singing Voice Extraction.
44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019). Abstract
(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
(2019). 20 Years of automatic chord recognition from audio.
International Society for Music Information Retrieval (ISMIR). Abstract
(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
(2019). Da-TACOS: A dataset for cover song identification and understanding.
International Society for Music Information Retrieval (ISMIR). Abstract
(2019). Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements.
Frontiers on Digital Humanities. Abstract
(2018). A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work.
Workshop on architectures and evaluation for generality, autonomy and progress in AI, IJCAI-ECAI 2018, AAMAS 2018 AND ICML 2018.
(2018). Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners.
Keynote speech, 2018 Joint Workshop on Machine Learning for Music. The Federated Artificial Intelligence Meeting (FAIM), a joint workshop program of ICML, IJCAI/ECAI, and AAMAS.
(2018). MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR.
Information and Communication Technologies. 241+xiii. Abstract
(2018). CANTE FLAMENCO TECH: Aprendizaje del cante con la ayuda de la tecnología.
V Congreso Interdisciplinar INVESTIGACIÓN Y FLAMENCO (INFLA). Abstract
(2018). Source Separation Methods for Orchestral Music: Timbre-Informed and Score-Informed Strategies.
Department of Information and Communication Technologies. 299. Abstract
(2018). Analysis of Intonation in Unison Choir Singing.
15th International Conference on Music Perception and Cognition (ICMPC).
(2018). Automatic Transcription of Flamenco Guitar Falsetas.
International Workshop on Folk Music Analysis.
(2017). Timbre Analysis of Music Audio Signals with Convolutional Neural Networks.
25th European Signal Processing Conference (EUSIPCO).
(2017). Monaural score-informed source separation for classical music using convolutional neural networks.
18th International Society for Music Information Retrieval Conference.
(2017). An Analysis/Synthesis Framework for Automatic F0 Annotation of Multitrack Datasets.
18th International Society for Music Information Retrieval Conference. Abstract
(2017). Correspondence between audio and visual deep models for musical instrument detection in video recordings.
18th International Society for Music Information Retrieval Conference (ISMIR2017, LBD). Abstract
(2017). Visual music transcription of clarinet video recordings trained with audio-based labelled data.
ICCV 2017 Workshop on Computer Vision for Audio-Visual Media (CVAVM). Abstract
(2017). Generating data to train convolutional neural networks for classical music source separation.
Proceedings of the 14th Sound and Music Computing Conference. 227-233.
(2017). Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks.
Workshop on Detection and Classification of Acoustic Scenes and Events. Abstract
