@ -178,6 +178,7 @@ Via the easy-to-use, efficient, flexible and scalable implementation, our vision
- 🧩 *Cascaded models application*: as an extension of the typical traditional audio tasks, we combine the workflows of the aforementioned tasks with other fields like Natural language processing (NLP) and Computer Vision (CV).
- 🧩 *Cascaded models application*: as an extension of the typical traditional audio tasks, we combine the workflows of the aforementioned tasks with other fields like Natural language processing (NLP) and Computer Vision (CV).
tar xzvf wav2vec2ASR-large-aishell1_ckpt_1.3.0.model.tar.gz
tar xzvf wav2vec2ASR-large-aishell1_ckpt_1.4.0.model.tar.gz
source path.sh
source path.sh
# If you have process the data and get the manifest file, you can skip the following 2 steps
# If you have process the data and get the manifest file, you can skip the following 2 steps
bash local/data.sh --stage -1 --stop_stage -1
bash local/data.sh --stage -1 --stop_stage -1
@ -185,8 +185,8 @@ In some situations, you want to use the trained model to do the inference for th
```
```
you can train the model by yourself using ```bash run.sh --stage 0 --stop_stage 3```, or you can download the pretrained model through the script below:
you can train the model by yourself using ```bash run.sh --stage 0 --stop_stage 3```, or you can download the pretrained model through the script below: