@inproceedings{897a2ee65eda47ec8a2d5aba946afd12,
title = "The second 'chime' speech separation and recognition challenge: Datasets, tasks and baselines",
abstract = "Distant-microphone automatic speech recognition (ASR) remains a challenging goal in everyday environments involving multiple background sources and reverberation. This paper is intended to be a reference on the 2nd 'CHiME' Challenge, an initiative designed to analyze and evaluate the performance of ASR systems in a real-world domestic environment. Two separate tracks have been proposed: a small-vocabulary task with small speaker movements and a medium-vocabulary task without speaker movements. We discuss the rationale for the challenge and provide a detailed description of the datasets, tasks and baseline performance results for each track.",
keywords = "'CHiME' Challenge, Noise-robust ASR",
author = "Emmanuel Vincent and Jon Barker and Shinji Watanabe and {Le Roux}, Jonathan and Francesco Nesta and Marco Matassoni",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6637622",
language = "English",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "126--130",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",
}