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Explaining the decisions of anomalous sound detectors
(2022-11-03)
Deciding whether a sound is anomalous is accomplished by comparing it to a learnt distribution of inliers. Therefore, learning a distribution close to the true population of inliers is vital for anomalous sound detection ...
Joint Scattering for Automatic Chick Call Recognition
(2021)
Animal vocalisations contain important information about health, emotional state, and behaviour, thus can be potentially used for animal welfare monitoring. Motivated by the spectro-temporal patterns of chick calls in the ...
Leveraging label hierarchies for few-shot everyday sound recognition
(2022-11-03)
Everyday sounds cover a considerable range of sound categories in our daily life, yet for certain sound categories it is hard to collect sufficient data. Although existing works have applied few-shot learning paradigms to ...
Contrastive audio-language learning for music
(ISMIR, 2022-12-04)
As one of the most intuitive interfaces known to humans, natural language has the potential to mediate many tasks that involve human-computer interaction, especially in application-focused fields like Music Information ...
ACPAS: A Dataset of Aligned Classical Piano Audio and Scores for Audio-to-Score Transcription
(2021-11-11)
We create the ACPAS dataset with aligned audio and scores on classical piano music for automatic music audio-to-score transcription research. The dataset contains 497 distinct music scores aligned with 2189 audio performances, ...
Performance MIDI-to-score conversion by neural beat tracking
(2022-12-18)
Rhythm quantisation is an essential part of converting performance MIDI recordings into musical scores. Previous works on rhythm quantisation are limited to the use of probabilistic or statistical methods. In this paper, ...