Speech Recognition
Speech Recognition is the task of converting spoken language into text. It involves recognizing the words spoken in an audio recording and transcribing them into a written format. The goal is to accurately transcribe the speech in real-time or from recorded audio, taking into account factors such as accents, speaking speed, and background noise.
( Image credit: SpecAugment )
Papers
Showing 1–10 of 6433 papers
All datasetsLibriSpeech test-cleanLibriSpeech test-otherSwitchboard + Hub500TIMITAISHELL-1WSJ eval92Common Voice Germanswb_hub_500 WER fullSWBCHTUDACommon Voice FrenchCommon Voice SpanishMediaSpeech
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Whisper (Large v2) | Test WER | 13.9 | — | Unverified |
| 2 | QuartzNet15x5FR (CV-only) | Test WER | 12.1 | — | Unverified |
| 3 | QuartzNet15x5FR (D7) | Test WER | 11 | — | Unverified |
| 4 | ConformerCTC-L (no-LM) | Test WER | 10.19 | — | Unverified |
| 5 | ConformerCTC-L (no-LM) | Test WER | 9.63 | — | Unverified |
| 6 | VoxPopuli-50K (n-gram) | Test WER | 9.6 | — | Unverified |
| 7 | ConformerCTC-L (4-gram) | Test WER | 9.16 | — | Unverified |
| 8 | ConformerCTC-L (5-gram) | Test WER | 8.13 | — | Unverified |