Biblio
Filters: Author is Alastair Porter [Clear All Filters]
The MTG-Jamendo Dataset for Automatic Music Tagging.
Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019). Abstract
(2019).
Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment.
6th International Conference on Digital Libraries for Musicology. Abstract
(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
(2019).
MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets.
MediaEval 2018 Workshop.
(2018).
(2018).
Freesound Datasets: A Platform for the Creation of Open Audio Datasets.
18th International Society for Music Information Retrieval Conference. Abstract
(2017).
(2017).
Cross-collection evaluation for music classification tasks.
17th International Society for Music Information Retrieval Conference (ISMIR 2016). Abstract
(2016).
Mining metadata from the web for AcousticBrainz.
3rd International Digital Libraries for Musicology workshop. 53-56. Abstract
(2016).
A Tool for The Analysis and Discovery of Ottoman-Turkish Makam Music.
( , Ed.).Extended abstracts for the Late Breaking Demo Session of the 16th International Society for Music Information Retrieval (ISMIR) Conference. Abstract
(2015).
AcousticBrainz: a community platform for gathering music information obtained from audio.
16th International Society for Music Information Retrieval Conference (ISMIR 2015). 786-792. Abstract
(2015).
Taming wild horses with Essentia Music Extractor.
International Society for Music Information Retrieval Conference (ISMIR 2015). Late Breaking Demo. Abstract
(2015).