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.
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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 | QuartzNet15x5ES (CV-only) | Test WER | 10.5 | — | Unverified |
| 2 | QuartzNet15x5ES (D8) | Test WER | 10 | — | Unverified |
| 3 | VoxPopuli-50K (n-gram) | Test WER | 10 | — | Unverified |
| 4 | ConformerCTC-L (no-LM) | Test WER | 7.46 | — | Unverified |
| 5 | ConformerCTC-L (no LM) | Test WER | 6.9 | — | Unverified |
| 6 | ConformerCTC-L (5-gram) | Test WER | 5.68 | — | Unverified |
| 7 | Whisper (Large v2) | Test WER | 5.6 | — | Unverified |
| 8 | ConformerCTC-L (4-gram) | Test WER | 5.5 | — | Unverified |