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A Study on the Transferability of Adversarial Attacks in Sound Event Classification
(IEEE, 2020-05-04)
An adversarial attack is an algorithm that perturbs the input of a machine learning model in an intelligent way in order to change the output of the model. An important property of adversarial attacks is transferability. ...
Violinist identification based on vibrato features
(EURASIP, 2021-08-23)
Identifying performers from polyphonic music is a challenging task in music information retrieval. As a ubiquitous expressive element in violin music, vibrato contains important information about the performers' interpretation. ...
Vocal Harmony Separation using Time-domain Neural Networks
(2021-08-30)
Polyphonic vocal recordings are an inherently challenging source separation task due to the melodic structure of the vocal parts and unique timbre of its constituents. In this work, we utilise a time-domain neural network ...
EnsembleSet: A new high-quality synthesised dataset for chamber ensemble separation
(2022-12-08)
Music source separation research has made great advances in recent years, especially towards the problem of separating vocals, drums, and bass stems from mastered songs. The advances in this field can be directly attributed ...