Biblio
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(Submitted). 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
(Submitted). Automatic Assessment of Singing Voice Pronunciation: A Case Study with Jingju Music.
Department of Information and Communications Technologies. xxxii + 235. Abstract
(Submitted). Automatic Assessment of Singing Voice Pronunciation: A Case Study with Jingju Music.
Department of Information and Communications Technologies. xxxii + 235.
(Submitted). The musical dimension of Chinese traditional theatre: An analysis from computer aided musicology.
Departament d'Humanitats. xxiv + 458. Abstract
(In Press). Physiopucks: Increasing User Motivation by Combining Tangible and Implicit Physiological interaction.
Transactions on Computer-Human Interaction (TOCHI).
(2018). MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets.
MediaEval 2018 Workshop.
(2018). The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources.
MediaEval 2018 Workshop.
(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
(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.
Sound and Music Computing Conference. Abstract
(2018). A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification.
15th 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). Tonality Estimation in Electronic Dance Music: A Computational and Musically Informed Examination.
Department of Information and Communication Technologies. 234.
(2018). Source Separation Methods for Orchestral Music: Timbre-Informed and Score-Informed Strategies.
Department of Information and Communication Technologies. 299. Abstract
(2018). Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions.
Interspeech 2018. Abstract
