The CHiME challenge series aims to advance robust automatic speech (ASR) technology by promoting research at the interface of speech language processing, signal processing , and machine learning. This paper the 5th CHiME Challenge, which considers the task of distant-microphone conversational ASR in real home environments. Speech material elicited using a dinner party scenario with efforts taken to capture data is representative of natural conversational speech and recorded by 6 microphone arrays and 4 binaural microphone pairs. The challenge a single-array track and a multiple-array track and, for each track, rankings will be produced for systems focusing on robustness with to distant-microphone capture vs. systems attempting to address all of the task including conversational language modeling. We discuss the for the challenge and provide a detailed description of the data procedure, the task, and the baseline systems for array, speech enhancement, and conventional and end-to-end ASR.
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Barker et al. (2018) studied this question.