Introduces LLM-powered digital twins for elderly speech simulation, evaluated with multi-head cVAE on I-CONECT data for identity preservation and MoCA score prediction, outperforming GPT baselines.
arxiv 2021
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A survey that organizes audio SSL into five objective paradigms, relates their demands to architectural biases, and interprets downstream applications as tests of generalization.
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Language-Based Digital Twins for Elderly Cognitive Assistance
Introduces LLM-powered digital twins for elderly speech simulation, evaluated with multi-head cVAE on I-CONECT data for identity preservation and MoCA score prediction, outperforming GPT baselines.
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From Objectives to Applications: Aligning Architectural Biases in Audio Self-Supervised Learning
A survey that organizes audio SSL into five objective paradigms, relates their demands to architectural biases, and interprets downstream applications as tests of generalization.