Update README.md

README.md

@@ -16,12 +16,14 @@ tags:
 - ExecuTorch
 - audioprocessing
 - transformer
+- Arm
+- MCU
 ---
-# Model Card for Model ID
+# ExecuTorch Conformer
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-Conformer is a popular Transformer based speech recognition network, suitable for embedded devices. This repository contains FP32 trained weights and the associated tokenizer for an implementation of Conformer. We also include exported quantized program with ExecuTorch, quantized for the ExecuTorch Ethos-U backend allowing an easy deployment on SoCs with an Arm® Ethos™-U NPU.  
+Conformer is a popular Transformer based speech recognition network, suitable for low-cost embedded devices. This repository contains example FP32 trained weights and the associated tokenizer for an implementation of Conformer. We also include exported quantized program with ExecuTorch, quantized for the ExecuTorch Ethos-U backend allowing an easy deployment on SoCs with an Arm® Ethos™-U NPU.  
 ## Model Details
 
 ### Model Description
@@ -144,4 +146,4 @@ recommended by the paper and 512 FFTs.
 
 #### Testing Data
 
-We test the model on the LibriSpeech `test-clean` dataset and obtain 7% Word Error Rate.
+We test the model on the LibriSpeech `test-clean` dataset and obtain 7% Word Error Rate. The accuracy of the model may be improved through training with additional datasets, and through data augmentation techniques such as time slicing.