Abstract Speech processing applications such as speech recognition, keyword spotting, language recognition, speaker identification, etc.,  are crucial for data analytics, voice operated systems, biometrics and information triage.  Current speech processing systems perform well under matched/clean[…]

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Abstract Bake-offs, shared tasks, evaluations: these are names for short, high-stress periods in many CS researchers’ lives where their algorithms and models are exposed to unseen data, often with reputations and funding on the line. […]

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Abstract Record linkage merges together large, potentially noisy databases to remove duplicate entities. Community detection is the process of placing entities into similar partitions or “communities.” Both applications are important to applications in author disambiguation,[…]

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Abstract Human face-to-face communication is a little like a dance, in that participants continuously adjust their behaviors based on verbal and nonverbal cues from the social context. Today’s computers and interactive devices are still lacking[…]

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Abstract Modern hearing aids feature multiple microphones that are suitable to conduct directional filtering, e.g., beamforming. Speech enhancement is an important step in signal processing conducted in such multi-channel assistive hearing systems and it requires[…]

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Abstract Debate and deliberation play essential roles in politics and government. While argument content and linguistic style both affect debate outcomes, limited work has been done on the interplay between the two. In the first[…]

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Abstract Transcribing consumer generated multi-media content such as “Youtube” videos is still one of the hardest tasks for automatic speech recognition, with high error rates. Such data typically occupies a very broad domain, has been[…]

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