Abstract With the rising influence of machine learning algorithms on many important aspects of our daily lives, there are growing concerns that biases inherent in data can lead the behavior of these algorithms to discriminate[…]

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Abstract Half of the world’s languages are endangered and may go extinct in this century. The loss of these languages will have dire consequences not only for their speakers, but also for culture, science, and[…]

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Abstract Based on Komogorov’s Superposition Theorem and Universal Approximation Theorem by Cybenko and Barron, any multivariate function can be approximated by a multi-layer perceptron. We therefore cast classical speech pre-processing problems into a regression setting[…]

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Abstract This talk reports on over a decade of research where theoretical foundations motivate computational models that produce real world impact in online spaces.  Both the earliest philosophers of language and the most recent researchers[…]

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Abstract Language understanding has long been a holy grail of Artificial Intelligence, but what exactly constitutes understanding? We argue that while the level of understanding required depends on the task, in many useful NLP applications,[…]

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Abstract The CHiME challenge series has been aiming to advance robust automatic speech recognition technology by promoting research at the interface of speech and language processing, signal processing and machine learning. This talk presents the[…]

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Abstract Voice-based content such as podcasts, radio stories, audiobooks, vlogs, and lecture videos are very prevalent these days. However, creating high quality content can be quite challenging, especially for novices. High quality recording equipment and[…]

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