The RWTH/UPB system combination for the CHiME 2018 Workshop
2018pp. 53–57
Citations Over TimeTop 14% of 2018 papers
Markus Kitza, Wilfried Michel, Christoph Boeddeker, Jens Heitkaemper, Tobias Menne, Ralf Schlüter, Hermann Ney, Joerg Schmalenstroeer, Lukas Drude, Jahn Heymann, Reinhold Haeb‐Umbach
Abstract
This paper describes the systems for the single-array track and the multiple-array track of the 5th CHiME Challenge. The final system is a combination of multiple systems, using Confusion Network Combination (CNC). The different systems presented here are utilizing different front-ends and training sets for a Bidirectional Long Short-Term Memory (BLSTM) Acoustic Model (AM). The front-end was replaced by enhancements provided by Paderborn University [1]. The back-end has been implemented using RASR [2] and RETURNN [3]. Additionally, a system combination including the hypothesis word graphs from the system of the submission [1] has been performed, which results in the final best system.
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