Model
Fast Conformer-Transducer-XXLarge model for English Automatic Speech Recognition, trained on NeMo ASRSET 3.0
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2 Versions
1.20.1Selected07/28/2023 9:09 PM UTC3.99 GB98 EpochsBatch Size: 4096GPU: A100 Copied!
1.20.1Selected
07/28/2023 9:09 PM UTC3.99 GB98 EpochsBatch Size: 4096GPU: A100
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Accuracy
| Key | Value |
|---|---|
| WSJ Eval-92 | 1.09 |
| Librispeech test-other | 2.71 |
| MCV Test 8.0 | 6.45 |
| Librispeech test-clean | 1.50 |
| MLS Test | 4.58 |
| NSC Part-1 | 4.48 |
Model
| Key | Value |
|---|---|
| Encoder Dimension | 1024 |
| Number of Layers | 42 |
| Architecture | FastConformer Transducer |
| Dataset | NeMo ASRSET 3.0 |
| Outputs | Text in English |
| Inputs | Speech in English |
| Number of Weights | 1.1B |
06/07/2023 7:50 PM UTC3.99 GB102 EpochsBatch Size: 2048 Copied!
06/07/2023 7:50 PM UTC3.99 GB102 EpochsBatch Size: 2048
Copied!
Accuracy
| Key | Value |
|---|---|
| LibriSpeech Test-other | 3.04 |
| LibriSpeech Test-clean | 1.59 |
Model
| Key | Value |
|---|---|
| Encoder Dimension | 1024 |
| Number of Layers | 42 |
| Architecture | Fast-Conformer-Transducer |
| Dataset | NeMo ASRSET 3.0 |
| Outputs | Text in English |
| Inputs | Speech in English |
| Number of Weights | 1.1B |