An unsupervised multilingual laughter segmentation method using Isolation Forest on BYOL-A audio representations outperforms existing supervised methods on non-English datasets.
Laugh- ter synthesis using pseudo phonetic tokens with a large-scale in- the-wild laughter corpus
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MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method
An unsupervised multilingual laughter segmentation method using Isolation Forest on BYOL-A audio representations outperforms existing supervised methods on non-English datasets.