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[...]

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,[...]

Abstract The use of Bayesian methods in large-scale data settings is attractive because of the rich hierarchical relationships, uncertainty quantification, and prior specification these methods provide. Many standard Bayesian inference algorithms are often computationally expensive,[...]