Robust Knowledge Distillation via Large-Scale Pseudo Labelling

Benchmark Model Rank Results
speech-recognition-on-amidistil-whisper/distil-large-v3.5#22Word Error Rate (WER): 13.36
speech-recognition-on-ami-cleaneddistil-whisper/distil-large-v3.5#24Word Error Rate (WER): 12.09
speech-recognition-on-earnings-22distil-whisper/distil-large-v3.5#21Word Error Rate (WER): 10.83
speech-recognition-on-gigaspeech-cleaneddistil-whisper/distil-large-v3.5#17Word Error Rate (WER): 8.21
speech-recognition-on-gigaspeech-testdistil-whisper/distil-large-v3.5#15Word Error Rate (WER): 8.26
speech-recognition-on-librispeech-test-cleandistil-whisper/distil-large-v3.5#65Word Error Rate (WER): 1.93
speech-recognition-on-librispeech-test-otherdistil-whisper/distil-large-v3.5#72Word Error Rate (WER): 4.5
speech-recognition-on-spgispeechdistil-whisper/distil-large-v3.5#23Word Error Rate (WER): 2.62
speech-recognition-on-voxpopulidistil-whisper/distil-large-v3.5#39Word Error Rate (WER): 7.69
speech-recognition-on-voxpopuli-cleaneddistil-whisper/distil-large-v3.5#7Word Error Rate (WER): 2.52