Update README.md

README.md

@@ -82,7 +82,7 @@ FFmpeg must be installed and configured for the application to process any track
     - The new auto-generated folder will be named after the model(s) selected.
     - The output audio files will be saved to the auto-generated directory.
     - The filenames for the instrumental & vocal outputs will have the selected model(s) name(s) appended. 
-- **Save All Outputs** - Only selectable when using the "*Ensemble Mode*" conversion method. This option will save all of the individual conversion outputs from each model within the ensemble
+- **Save All Outputs** - Only selectable when using the "*Ensemble Mode*" conversion method. This option will save all of the individual conversion outputs from each model within the ensemble.
     - When *'Save All Outputs'* is un-selected, the application will auto-delete all of the individual conversions generated by each model in the ensemble.
 
 ### Additional Options
@@ -92,13 +92,11 @@ FFmpeg must be installed and configured for the application to process any track
         - **1024** - Low conversion quality, shortest conversion time, low resource usage
         - **512** - Average conversion quality, average conversion time, normal resource usage
         - **320** - Better conversion quality, long conversion time, high resource usage
-
 - **Aggression Setting** - This option allows you to set how strong the vocal removal will be. 
     - The range is 0-100. 
     - Higher values perform deeper extractions. 
     - The default is 10 for instrumental & vocal models.
     - Values over 10 can result in muddy-sounding instrumentals for the non-vocal models. 
-
 - **Default Values:**
   - **Window Size** - 512
   - **Aggression Setting** - 10 (optimal setting for all conversions)
@@ -109,16 +107,14 @@ FFmpeg must be installed and configured for the application to process any track
 
 ## Models Included
 
-All of the models included in the release were trained on large datasets containing a diverse range of music genres as well as different training parameters. 
+All of the models included in the release were trained on large datasets containing a diverse range of music genres and different training parameters.
 
-- **PLEASE NOTE:** Do not change the name of the models provided! The required parameters are specified and appended to the end of the filenames.
+**Please Note:** Do not change the name of the models provided! The required parameters are specified and appended to the end of the filenames.
 
 - **Model Network Types**
     - **HP2** - The model layers are much larger. However, this makes them resource-heavy.
     - **HP** - The model layers are the standard size for UVR v5.
 
-Here's a list of the models included within the package -
-
 ### Main Models
 
 - **HP2_3BAND_44100_MSB2.pth** - This is a strong instrumental model trained using more data and new parameters.
@@ -137,36 +133,40 @@ Here's a list of the models included within the package -
 Run your tracks through a single model only. This is the default conversion method.
 
 - **Choose Main Model**  - Here is where you choose the main model to perform a deep vocal removal.
-    - The *'Model Test Mode'* option makes it easier for the user to test different models on given tracks.
+    - The *'Model Test Mode'* option makes it easier for users to test different models on given tracks.
 
 ### Ensemble Mode
 
-Ensemble Mode will run your track(s) through multiple models and combine the resulting outputs for a more robust separation.
+Ensemble Mode will run your track(s) through multiple models and combine the resulting outputs for a more robust separation. Higher level ensembles will have stronger separations, as they use more models.
 
-- **Choose Ensemble** - Here, you choose the ensemble you wish to run your track through.
+- **Choose Ensemble** - Here, choose the ensemble you wish to run your track through.
-    - The *'Save All Output'* option saves all of the outputs generated by each model in the ensemble when checked.
+    - **There are 4 ensembles you can choose from:**
-
+        - **HP1 Models** - Level 1 Ensemble
-Currently, there are 4 ensembles you can choose from. 
+        - **HP2 Models** - Level 2 Ensemble
+        - **All HP Models** - Level 3 Ensemble
+        - **Vocal Models** - Level 1 Vocal Ensemble
+    - A directory is auto-generated with the name of the ensemble. This directory will contain all of the individual outputs generated by the ensemble and auto-delete once the conversions are complete if the *'Save All Outputs'* option is unchecked.
+    - When checked, the *'Save All Outputs'* option saves all of the outputs generated by each model in the ensemble.
 
 - **List of models included in each ensemble:**
-    - **HP1 Models** - Level 1 Ensemble
+    - **HP1 Models** 
         - HP_4BAND_44100_A
         - HP_4BAND_44100_B
-    - **HP2 Models** - Level 2 Ensemble
+    - **HP2 Models** 
         - HP2_4BAND_44100_1
         - HP2_4BAND_44100_2
         - HP2_3BAND_44100_MSB2
-    - **All HP Models** - Level 3 Ensemble
+    - **All HP Models**
         - HP_4BAND_44100_A
         - HP_4BAND_44100_B
         - HP2_4BAND_44100_1
         - HP2_4BAND_44100_2
         - HP2_3BAND_44100_MSB2
-    - **Vocal Models** - Level 1 Vocal Ensemble
+    - **Vocal Models**
         - HP_Vocal_4BAND_44100
         - HP_Vocal_AGG_4BAND_44100
 
-- **PLEASE NOTE:** Ensemble mode is very resource heavy!
+- **Please Note:** Ensemble mode is very resource heavy!
 
 ## Other GUI Notes
 
@@ -201,7 +201,7 @@ python VocalRemover.py
 
 The **Ultimate Vocal Remover GUI** code is [MIT-licensed](LICENSE). 
 
-- **PLEASE NOTE:** For all third-party application developers who wish to use our models, please honor the MIT license by providing credit to UVR and its developers Anjok07, aufr33, & tsurumeso.
+- **Please Note:** For all third-party application developers who wish to use our models, please honor the MIT license by providing credit to UVR and its developers Anjok07, aufr33, & tsurumeso.
 
 ## Contributing