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Found 2 papers, 1 papers with code
Separating Content from Speaker Identity in Speech for the Assessment of Cognitive Impairments
Deep speaker embeddings have been shown effective for assessing cognitive impairments aside from their original purpose of speaker verification.
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
Therefore, studying emotions in the context of social interactions requires a novel dataset, and K-EmoCon is such a multimodal dataset with comprehensive annotations of continuous emotions during naturalistic conversations.
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