Model
Conformer-CTC-XLarge model for English Automatic Speech Recognition, Trained on NeMo ASRSET
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1.10.0Selected05/26/2022 9:12 PM UTC2.37 GB Copied!
1.10.0Selected
05/26/2022 9:12 PM UTC2.37 GB
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Accuracy
| Key | Value |
|---|---|
| SLR83 | 5.50 % |
| Librispeech test-other | 3.74 % |
| Librispeech dev-other | 3.79 % |
| NSC Part 6 long | 6.44 % |
| WSJ Dev 93 | 2.36 % |
| Peoples Speech | 22.90 % |
| Librispeech dev-clean | 1.77 % |
| Librispeech test-clean | 2.00 % |
| Mozilla Common Voice 8.0 test | 7.88 % |
| Multilingual Librispeech test (EN) | 5.99 % |
Model
| Key | Value |
|---|---|
| Encoder Dimension | 1024 |
| Number of Encoder Layers | 24 |
| Dataset | NeMo ASRSET 3.0 |
| ARCHITECTURE | Conformer-CTC |
| INPUTS | 16000 KHZ MONO-CHANNEL AUDIO (WAV FILES) |
| Number of Weights | 0.6B |
| OUTPUTS | TRANSCRIBED SPEECH |