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UNSUPERVISED LATENT BEHAVIOR MANIFOLD LEARNING FROM ACOUSTIC FEATURES: AUDIO2BEHAVIOR

Behavioral annotation using signal processing and machine learning is highly dependent on training data and manual annotations of behavioral labels. The proposed framework employs a similar idea to the word2vec.

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Cite this as

Haoqi Li, Brian Baucom, Panayiotis Georgiou (2024). Dataset: UNSUPERVISED LATENT BEHAVIOR MANIFOLD LEARNING FROM ACOUSTIC FEATURES: AUDIO2BEHAVIOR. https://doi.org/10.57702/oy5qt05q

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1701.03198
Author	Haoqi Li
More Authors	Brian Baucom Panayiotis Georgiou
Homepage	https://arxiv.org/abs/1905.09541