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Update README.md
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README.md
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@@ -68,6 +68,28 @@ asr_model.transcribe_file("speechbrain/asr-transformer-aishell/example.wav")
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### Inference on GPU
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To perform inference on the GPU, add `run_opts={"device":"cuda"}` when calling the `from_hparams` method.
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### Limitations
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The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.
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year = {2021},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {
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}
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```
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### Inference on GPU
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To perform inference on the GPU, add `run_opts={"device":"cuda"}` when calling the `from_hparams` method.
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### Training
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The model was trained with SpeechBrain (Commit hash: '986a2175').
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To train it from scratch follow these steps:
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1. Clone SpeechBrain:
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```bash
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git clone https://github.com/speechbrain/speechbrain/
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```
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2. Install it:
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```bash
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cd speechbrain
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pip install -r requirements.txt
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pip install -e .
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```
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3. Run Training:
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```bash
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cd recipes/AISHELL-1/ASR/transformer/
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python train.py hparams/train_ASR_transformer.yaml --data_folder=your_data_folder
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```
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You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/1QU18YoauzLOXueogspT0CgR5bqJ6zFfu?usp=sharing).
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### Limitations
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The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.
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year = {2021},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\\url{https://github.com/speechbrain/speechbrain}},
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}
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```
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