Abstract Effective models of human attitudes and behavior can empower applications ranging from immersive environments to social policy simulation. However, traditional simulations have struggled to capture the complexity and contingency of human behavior. I argue[…]

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Abstract In the high-stakes world of critical care, every second counts. Traditional manual patient monitoring, while effective, strains our healthcare system’s resources. Nurses, already stretched thin, repetitively assess acute care indices like physical function. Meanwhile,[…]

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Abstract The philosophical distinction between intension and extension is relevant to many problems in mathematics and the sciences (including linguistics and computational linguistics). Intention refers to the definitional properties of a construct and extension refers[…]

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Abstract Recently, we have seen tremendous progress in the field of language models (LMs), with the release of numerous open models and closed API systems. However, fewer and fewer disclose how they are created: Which[…]

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Abstract Despite many recent developments in speaker diarization, it remains a challenge and an active area of research to make diarization robust and effective in real-life scenarios.  End-to-end neural speaker diarization (EEND) systems are considered[…]

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Abstract This talk will cover three different directions of my research journey in the speech domain: recognition, generation and privacy. We will start with self-training algorithms that have recently emerged as a powerful strategy for[…]

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