LF-MMI TDNN
Reported on 5 benchmarks across 5 tasks · 1 paper · 3 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Speech2 results
- Test WER· 2020-01-06SOTA5.9best: 1.4 (Whisper-Flamingo)
- Test WER· 2020-01-06SOTA6.7best: 1.3 (Whisper)
Audio1 result
- Test WER· 2020-01-06SOTA6.7best: 1.3 (Whisper)
Computer Vision1 result
- Word Error Rate (WER)· uses extra data· 2020-01-0648.86best: 14.6 (Auto-AVSR)
Natural Language Processing1 result
- Word Error Rate (WER)· uses extra data· 2020-01-0648.86best: 14.6 (Auto-AVSR)