Update README.md

README.md

@@ -57,12 +57,35 @@ torchaudio.save("source2hat.wav", est_sources[:, :, 1].detach().cpu(), 8000)
 ### Inference on GPU
 To perform inference on the GPU, add  `run_opts={"device":"cuda"}`  when calling the `from_hparams` method.
 
+### Training
+The model was trained with SpeechBrain (e375cd13).
+To train it from scratch follows these steps:
+1. Clone SpeechBrain:
+```bash
+git clone https://github.com/speechbrain/speechbrain/
+```
+2. Install it:
+```
+cd speechbrain
+pip install -r requirements.txt
+pip install -e .
+```
+
+3. Run Training:
+```
+cd  recipes/WHAMandWHAMR/separation
+python train.py hparams/sepformer-wham.yaml --data_folder=your_data_folder
+```
+
+You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/1dIAT8hZxvdJPZNUb8Zkk3BuN7GZ9-mZb?usp=sharing).
+
+
 ### Limitations
 The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.
 
 #### Referencing SpeechBrain
 
-```
+
 ```bibtex
 @misc{speechbrain,
   title={SpeechBrain: A General-Purpose Speech Toolkit},
@@ -73,7 +96,6 @@ The SpeechBrain team does not provide any warranty on the performance achieved b
   primaryClass={eess.AS}
 }
 ```
-```
 
 #### Referencing SepFormer
 ```bibtex