Update README.md

README.md

@@ -35,41 +35,73 @@ The paper for the REAL-M dataset can be found on [this arxiv link](https://arxiv
 
 ## Install SpeechBrain
 
-First of all, please install SpeechBrain with the following command:
+First of all, currently you need to install SpeechBrain from the source:
+
+1. Clone SpeechBrain:
+
+```bash
+
+git clone https://github.com/speechbrain/speechbrain/
 
 ```
-pip install speechbrain
+
+2. Install it:
+
+```
+
+cd speechbrain
+
+pip install -r requirements.txt
+
+pip install -e .
+
 ```
 
-Please notice that we encourage you to read our tutorials and learn more about
-[SpeechBrain](https://speechbrain.github.io).
+Please notice that we encourage you to read our tutorials and learn more about [SpeechBrain](https://speechbrain.github.io).
 
 
 ### 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 (fc2eabb7).
+
 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/WSJ0Mix/separation
-python train.py hparams/sepformer.yaml --data_folder=your_data_folder
+
+cd recipes/REAL-M/sisnr-estimation
+
+python train.py hparams/pool_sisnrestimator.yaml --data_folder /yourLibri2Mixpath --base_folder_dm /yourLibriSpeechpath --rir_path /yourpathforwhamrRIRs --dynamic_mixing True --use_whamr_train True --whamr_data_folder /yourpath/whamr --base_folder_dm_whamr /yourpath/wsj0-processed/si_tr_s
+
 ```
 
 You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/1NGncbjvLeGfbUqmVi6ej-NH9YQn5vBmI).
 
+
 ### Limitations
 The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.