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 | Local Prior Matching (Large Model) | Word Error Rate (WER) | 20.84 | — | Unverified |
| 2 | Snips | Word Error Rate (WER) | 16.5 | — | Unverified |
| 3 | Local Prior Matching (Large Model, ConvLM LM) | Word Error Rate (WER) | 15.28 | — | Unverified |
| 4 | Deep Speech 2 | Word Error Rate (WER) | 13.25 | — | Unverified |
| 5 | TDNN + pNorm + speed up/down speech | Word Error Rate (WER) | 12.5 | — | Unverified |
| 6 | CTC-CRF 4gram-LM | Word Error Rate (WER) | 10.65 | — | Unverified |
| 7 | Convolutional Speech Recognition | Word Error Rate (WER) | 10.47 | — | Unverified |
| 8 | MT4SSL | Word Error Rate (WER) | 9.6 | — | Unverified |
| 9 | Jasper DR 10x5 | Word Error Rate (WER) | 8.79 | — | Unverified |
| 10 | Espresso | Word Error Rate (WER) | 8.7 | — | Unverified |