Towards a style-specific basis for computational beat tracking [PDF]
, 2006 Outlined in this paper are a number of sources of evidence, from psychological, ethnomusicological and engineering grounds, to suggest that current approaches to computational beat tracking are incomplete.
Collins, Nick
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The bag-of-frames approach: a not so sufficient model for urban soundscapes [PDF]
, 2015 The "bag-of-frames" approach (BOF), which encodes audio signals as the long-term statistical distribution of short-term spectral features, is commonly regarded as an effective and sufficient way to represent environmental sound recordings (soundscapes ...
Aucouturier, Jean-Julien +3 more
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Contrastive Loss Based Frame-Wise Feature Disentanglement for Polyphonic Sound Event Detection
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Comment: accepted by ...
Guan, Yadong +6 more
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Weakly-Supervised Temporal Localization via Occurrence Count Learning [PDF]
, 2019 We propose a novel model for temporal detection and localization which allows the training of deep neural networks using only counts of event occurrences as training labels. This powerful weakly-supervised framework alleviates the burden of the imprecise
Marshall, David +2 more
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Polyphonic sound event localization and detection based on Multiple Attention Fusion ResNet
Mathematical Biosciences and Engineering<abstract> <p>Sound event localization and detection have been applied in various fields. Due to the polyphony and noise interference, it becomes challenging to accurately predict the sound event and their occurrence locations. Aiming at this problem, we propose a Multiple Attention Fusion ResNet, which uses ResNet34 as the base network ...
Shouming Zhang +5 more
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Input features for deep learning-based polyphonic sound event localization and detection
, 2023 Sound event localization and detection (SELD) is an emerging research topic that combines the tasks of sound event detection (SED) and direction-of-arrival estimation (DOAE). The SELD task aims to jointly recognize the sound classes and estimate the directions of arrival (DOAs) and the temporal activities of detected sound events.
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Analysis and Acoustic Event Classification of Environmental Data Collected in a Citizen Science Project. [PDF]
Int J Environ Res Public Health, 2023 Bonet-Solà D +2 more
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Harmonizing minds and machines: survey on transformative power of machine learning in music. [PDF]
Front Neurorobot, 2023 Liang J.
europepmc +1 more source
Unlocking the musical brain: A proof-of-concept study on playing the piano in MRI scanner with naturalistic stimuli. [PDF]
Heliyon, 2023 Olszewska AM +8 more
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Recurrent neural networks for polyphonic sound event detection
, 2015 The objective of this thesis is to investigate how a deep learning model called recurrent neural network (RNN) performs in the task of detecting overlapping sound events in real life environments. Examples of such sound events include dog barking, footsteps, and crowd applauding.
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