Biblio
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(In Press). Data Efficient Voice Cloning for Neural Singing Synthesis.
2019 IEEE International Conference on Acoustics, Speech and Signal Processing.
(2019). A Framework for Multi-f0 Modeling in SATB Choir Recordings.
Sound and Music Computing (SMC) Conference. 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). End-to-End Sound Source Separation Conditioned On Instrument Labels.
2019 International Conference on Acoustics, Speech, and Signal Processing. Abstract
(2019). Learning Sound Event Classifiers from Web Audio with Noisy Labels.
International Conference on Acoustics, Speech and Signal Processing (ICASSP). Abstract
(2019). A Vocoder Based Method For Singing Voice Extraction.
44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019). Abstract
(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),
(2019). Recognizing Musical Entities in User-generated Content.
International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) 2019. Abstract
(2019). Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements.
Frontiers on Digital Humanities.
(2019). Phrase-Level Modeling of Expression in Violin Performances.
Frontiers in Psychology. 10, 776. Abstract
(2019). Randomly weighted CNNs for (music) audio classification.
44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019). Abstract
(2019). Skip prediction using boosting trees based on acoustic features of tracks in sessions.
WSDM Cup Workshop 2019. Abstract
(2019). Training neural audio classifiers with few data.
44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019). Abstract
(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. Abstract
(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). 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
(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.
