Four severity classes for ASR errors are defined and used to benchmark ten French ASR systems, with Kaldi plus RNNLM rescoring best overall and LeBenchmark 7k character models best at avoiding critical errors.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Benchmark of French ASR Systems Based on Error Severity
Four severity classes for ASR errors are defined and used to benchmark ten French ASR systems, with Kaldi plus RNNLM rescoring best overall and LeBenchmark 7k character models best at avoiding critical errors.