Fix description

README.md

@@ -5,10 +5,10 @@ tags:
 - SpeechEnhancement
 ---
 
-# ENOT-AutoDL MP-SENet optimization on VoiceBank+DEMAND dataset.
+# MP-SENet optimization on VoiceBank+DEMAND dataset with ENOT-AutoDL.
 
 This repository contains the optimized version of [MP-SENet](https://github.com/yxlu-0102/MP-SENet) model.
-Number of MACs aka FLOPS was used for computational complexity measurement. PESQ score was used as a quality metric.
+Number of multiplication and addition operations (MACs) was used for computational complexity measurement. PESQ score was used as a quality metric.
 
 ## Optimization results  
 
@@ -16,16 +16,16 @@ We use MACs as a latency measure because this metric is device-agnostic and impl
 There is also a possibility to optimize a model by target device latency using ENOT neural architecture selection algorithm.  
 Please, keep in mind that acceleration by device latency differs from acceleration by MACs.
 
-| **Model**      | **MACs** | **acceleration** | PESQ score |
-|----------------|:--------:|:----------------:|:----------:|
-| baseline       | 302.39 B |       1.0        |   3.381    |
-| ENOT optimized | 120.95 B |       2.5        |   3.386    |
+| **Model**      | **MACs** | **Acceleration (MACs)** | PESQ score (the higher the better) |
+|----------------|:--------:|:-----------------------:|:----------------------------------:|
+| baseline       | 302.39 B |           1.0           |               3.381                |
+| ENOT optimized | 120.95 B |           2.5           |               3.386                |
 
-You can use `Baseline_model.pth` and `ENOT_optimized_model.pth` in the original repo by loading them as generator in the following way:
+You can use `Baseline_model.pth` and `ENOT_optimized_model.pth` in the original repo by loading a model as generator in the following way:
 ```python
 generator = torch.load("ENOT_optimized_model.pth")
 ```
 
-There are model objects, saved by `torch.save`, so you can load them only from the original repository root because of imports.
+These two files contains a model objects, saved by `torch.save`, so you can load them only from the original repository root because of imports.
 
 If you want to book a demo, please contact us: enot@enot.ai .