Abstract Large language models (LMs) are pretrained on diverse data sources—news, discussion forums, books, online encyclopedias. A significant portion of this data includes facts and opinions which, on one hand, celebrate democracy and diversity of[…]

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Abstract The successes of speech and language technology research in recent years has led to the deployment of  human language technology (HLT) in an increasing number of high-visibility, high-consequence applications.  Well-established approaches to evaluating HLT[…]

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Abstract Large Language Models (LLMs) have become ubiquitous across various domains, transforming the way we interact with information and conduct research. While the proliferation of LLMs has enhanced numerous applications, a significant number of high-performing[…]

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Abstract Biomarkers can be used for a variety of purposes in clinical research and drug development, and while molecular and imaging biomarkers have utility in such research, digital biomarkers are increasingly being used to assess[…]

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Abstract History repeats itself, sometimes in a bad way. Preventing natural or man-made disasters requires being aware of these patterns and taking pre-emptive action to address and reduce them, or ideally, eliminate them. Emerging events,[…]

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Abstract Our cognitive abilities enable us not only to perceive and identify speech and non-speech sounds but also to comprehend their meaning as a whole. While significant advancements have been achieved in audio recognition in[…]

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Abstract Over the past decade, the field of Speech Generation has seen significant progress in enhancing speech quality and naturalness. Despite these advancements, persistent challenges such as speech noise, limited high-quality data availability, and the[…]

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