Обученные встраивания

material ID: learnedembeddings

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Learning Paralinguistic Features from Audiobooks through Style Voice Conversion

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Publication: TIPSTER (2021)

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AbstractParalinguistics, the non-lexical components of speech, play a crucial role in human-human interaction. Models designed to recognize paralinguistic information, particularly speech emotion and style, are difficult to train because of …...

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Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?

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AbstractRecent advancements in Large Language Models (LLMs) have drawn increasing attention since the learned embeddings pretrained on large-scale datasets have shown powerful ability in various downstream applications. However, whether the …...

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