An unsupervised multilingual laughter segmentation method using Isolation Forest on BYOL-A audio representations outperforms existing supervised methods on non-English datasets.
It is inherently social, as it not only communicates one’s internal state but also helps to propa- gate this state to other listeners [3]
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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.