Model
Conformer-Transducer-Medium model for English Automatic Speech Recognition, Trained on NeMo ASRSET
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2 Versions
03/16/2022 12:21 AM UTC124.61 MB Copied!
03/16/2022 12:21 AM UTC124.61 MB
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Accuracy
| Key | Value |
|---|---|
| LibriSpeech Dev-clean | 2.0 |
| LibriSpeech Test-other | 4.7 |
| LibriSpeech Dev-other | 4.6 |
| LibriSpeech Test-clean | 2.1 |
Model
| Key | Value |
|---|---|
| Encoder Dimension | 256 |
| Number of Layers | 16 |
| Architecture | Conformer-Transducer-Medium |
| Dataset | NeMo ASRSET 2.0 |
| Outputs | Text in English |
| Inputs | Speech in English |
| Number of Weights | 32M |
1.4.0Selected09/21/2021 10:19 PM UTC115.46 MB Copied!
1.4.0Selected
09/21/2021 10:19 PM UTC115.46 MB
Copied!
Accuracy
| Key | Value |
|---|---|
| LibriSpeech Dev-clean | 2.4 |
| LibriSpeech Test-other | 5.8 |
| LibriSpeech Dev-other | 5.5 |
| LibriSpeech Test-clean | 2.6 |
Model
| Key | Value |
|---|---|
| Encoder Dimension | 256 |
| Number of Layers | 16 |
| Architecture | Conformer-Transducer-Medium |
| Dataset | NeMo ASRSET 1.4.1 |
| Outputs | Text in English |
| Inputs | Speech in English |
| Number of Weights | 32M |