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 | Deep Speech | Percentage error | 20 | — | Unverified |
| 2 | DNN-HMM | Percentage error | 18.5 | — | Unverified |
| 3 | CD-DNN | Percentage error | 16.1 | — | Unverified |
| 4 | DNN | Percentage error | 16 | — | Unverified |
| 5 | DNN + Dropout | Percentage error | 15 | — | Unverified |
| 6 | DNN MPE | Percentage error | 12.9 | — | Unverified |
| 7 | HMM-TDNN + pNorm + speed up/down speech | Percentage error | 12.9 | — | Unverified |
| 8 | DNN MMI | Percentage error | 12.9 | — | Unverified |
| 9 | DNN BMMI | Percentage error | 12.9 | — | Unverified |
| 10 | Deep Speech + FSH | Percentage error | 12.6 | — | Unverified |