Open Challenge for Correcting Errors of Speech Recognition Systems

Marek Kubis, Zygmunt Vetulani, Mikołaj Wypych, Tomasz Ziętkiewicz

Abstract: The paper announces the new long-term challenge for improving the performance of automatic speech recognition systems. The goal of the challenge is to investigate methods of correcting the recognition results on the basis of previously made errors by the speech processing system. The dataset prepared for the task is described, evaluation criteria are presented and baseline solutions of the problem are proposed.

External IDs:doi:10.1007/978-3-031-05328-3_21