Model
Self-Supervised Learning (SSL) checkpoints for Conformer XLarge model. These are similar to w2v-Conformer model and can be fine-tuned for Automatic Speech Recognition (ASR).
Use the NGC CLI to download:
Copied!
1 Version
1.10.0Selected05/26/2022 8:52 PM UTC2.37 GB Copied!
1.10.0Selected
05/26/2022 8:52 PM UTC2.37 GB
Copied!
Accuracy Librispeech-100h
| Key | Value |
|---|---|
| Librispeech test-other | 4.35 % |
| Librispeech dev-other | 4.23 % |
| Librispeech dev-clean | 2.53 % |
| Librispeech test-clean | 2.51 % |
Accuracy Librispeech-960h
| Key | Value |
|---|---|
| Librispeech test-other | 3.21 % |
| Librispeech dev-other | 3.18 % |
| Librispeech dev-clean | 1.56 % |
| Librispeech test-clean | 1.67 % |
Model
| Key | Value |
|---|---|
| Encoder Dimension | 1024 |
| Number of Encoder Layers | 24 |
| Dataset | Librilight |
| ARCHITECTURE | Conformer |
| INPUTS | 16000 KHZ MONO-CHANNEL AUDIO (WAV FILES) |
| Number of Weights | 0.6B |