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
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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 | Att | Word Error Rate (WER) | 18.7 | — | Unverified |
| 2 | CTC/Att | Word Error Rate (WER) | 6.7 | — | Unverified |
| 3 | BRA-E | Word Error Rate (WER) | 6.63 | — | Unverified |
| 4 | CTC-CRF 4gram-LM | Word Error Rate (WER) | 6.34 | — | Unverified |
| 5 | BAT | Word Error Rate (WER) | 4.97 | — | Unverified |
| 6 | Paraformer | Word Error Rate (WER) | 4.95 | — | Unverified |
| 7 | U2 | Word Error Rate (WER) | 4.72 | — | Unverified |
| 8 | UMA | Word Error Rate (WER) | 4.7 | — | Unverified |
| 9 | Lightweight Transducer | Word Error Rate (WER) | 4.31 | — | Unverified |
| 10 | SE-WSBO With LM | Word Error Rate (WER) | 4.1 | — | Unverified |