High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR
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Benchmark
Model
Rank
Results
speech-recognition-on-librispeech-test-clean
United Med ASR
–
Word Error Rate (WER): 0.985
speech-recognition-on-tedlium
United-MedASR (764M)
–
Word Error Rate (WER): 0.29
Rank counts only results with a code link.