Update README.md

README.md

@@ -39,7 +39,7 @@ For a better experience, we encourage you to learn more about [SpeechBrain](http
 
 ## Pipeline description
 
-This system is composed of a wavlm encoder a downstream frame-wise classifier. The task aimes to predict the correct emotion components and their boundaries within an utterance. For now, the model was trained with audios that contain only 1 non-neutral emotion event.
+This system is composed of a wavlm encoder a downstream frame-wise classifier. The task aims to predict the correct emotion components and their boundaries within a speech recording. For now, the model was trained with audios that contain only 1 non-neutral emotion event.
 
 The system is trained with recordings sampled at 16kHz (single channel).
 The code will automatically normalize your audio (i.e., resampling + mono channel selection) when calling *diarize_file* if needed.
@@ -58,7 +58,7 @@ Please notice that we encourage you to read our tutorials and learn more about
 
 ### Perform Speech Emotion Diarization
 
-An external `py_module_file=custom.py` is used as an external Predictor class into this HF repos. We use `foreign_class` function from `speechbrain.pretrained.interfaces` that allow you to load you custom model. 
+An external `py_module_file=custom.py` is used as an external Predictor class into this HF repos. We use `foreign_class` function from `speechbrain.pretrained.interfaces` that allows you to load your custom model. 
 
 ```python
 from speechbrain.pretrained.interfaces import foreign_class