5 citations · 6 across the 4 of their papers we have counts for
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cs.CL2024★ 1 cited
Tag and correct: high precision post-editing approach to correction of speech recognition errors
Tomasz Ziętkiewicz
This paper presents a new approach to the problem of correcting speech recognition errors by means of post-editing. It consists of using a neural sequence tagger that learns how to…
cs.CL2023
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors
Marek Kubis, Paweł Skórzewski, Marcin Sowański +1
In a spoken dialogue system, an NLU model is preceded by a speech recognition system that can deteriorate the performance of natural language understanding. This paper proposes a m…
cs.CL2020★ 5 cited
Open Challenge for Correcting Errors of Speech Recognition Systems
Marek Kubis, Zygmunt Vetulani, Mikołaj Wypych +1
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 correc…