Papers with automatic classification of high-level paralinguistic features

1 papers
Development of an Annotated Multimodal Dataset for the Investigation of Classification and Summarisation of Presentations using High-Level Paralinguistic Features (L18-1)

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Challenge: Existing summarisation methods take no account of multimodal high-level paralinguistic features which form part of audio-visual presentations.
Approach: They propose to use audiovisual recordings to extract paralinguistic features from audio recordings . they use manual annotations to help users find relevant material .
Outcome: The proposed method can identify the most important or emphasised material within a presentation.

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