Biblio
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(Submitted). Overcoming catastrophic forgetting with hard attention to the task.
The 35th International Conference on Machine Learning (ICML 2018) .
(In Press). A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification.
15th Sound & Music Computing Conference. Abstract
(In Press). Physiopucks: Increasing User Motivation by Combining Tangible and Implicit Physiological interaction.
Transactions on Computer-Human Interaction (TOCHI).
(In Press). Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions.
Interspeech 2018. Abstract
(2018). Towards a Hybrid Assessment Model For Music Conservatory Entrance Exams.
2nd Int. Conf. on Education and Learning. Abstract
(2018). Automatic makam recognition using chroma features.
International Workshop on Folk Music Analysis. Abstract
(2018). Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research.
International Society for Music Information Retrieval Conference. Abstract
(2018). Transfer Learning of Artist Group Factors to Musical Genre Classification.
WWW ’18 The Web Conference 2018. 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). MusicCritic: A technological framework to support online music teaching for large audiences.
33rd World Conference of International Society For Music Education (ISME). Abstract
(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). Natural Language Processing for Music Knowledge Discovery.
Journal of New Music Research. Abstract
(2018). CANTE FLAMENCO TECH: Aprendizaje del cante con la ayuda de la tecnología.
V Congreso Interdisciplinar INVESTIGACIÓN Y FLAMENCO (INFLA).
(2018). Makam recognition using extended pitch distribution features and multi-layer perceptrons.
Sound and Music Computing Conference (SMC). Abstract
(2018). Nawba Recognition for Arab-Andalusian Music Using Templates From Music Scores.
15th International Sound & Music Computing Conference. Abstract
(2018). Connecting Time and Timbre: Computational Methods for Generative Rhythmic Loops in Symbolic and Signal Domains.
Department of Information and Communication Technologies. 257. Abstract
(2018). Source Separation Methods for Orchestral Music: Timbre-Informed and Score-Informed Strategies.
Department of Telecommunications and Information 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). Enriched Multimodal Representations of Music Performances: Online Access and Visualization.
IEEE MultiMedia. 24(1), 24-34. Abstract
(2017). ELMDist: A vector space model with words and MusicBrainz entities.
Workshop on Semantic Deep Learning (SemDeep), collocated with ESWC 2017. Abstract
(2017). Creating an A Cappella Singing Audio Dataset for Automatic Jingju Singing Evaluation Research.
4th International Digital Libraries for Musicology workshop (DLfM 2017). Abstract
(2017). Quantitative analysis of the relationship between linguistic tones and melody in jingju using music scores.
4th International Digital Libraries for Musicology workshop (DLfM 2017). Abstract
(2017). Timbre Analysis of Music Audio Signals with Convolutional Neural Networks.
25th European Signal Processing Conference (EUSIPCO).
