Papers by Emily Mower Provost

1 papers
Learning Paralinguistic Features from Audiobooks through Style Voice Conversion (2021.naacl-main)

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Challenge: Paralinguistics, the non-lexical components of speech, play a crucial role in human-human interaction.
Approach: They propose a framework that enables a neural network to learn to extract paralinguistic attributes from speech using data that are not annotated for emotion.
Outcome: The proposed framework improves on emotion recognition and speaking style detection tasks.

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