Update README.md

README.md

@@ -34,10 +34,8 @@ pipeline_tag: automatic-speech-recognition
 
 ## Model Architecture
 
-This model uses a FastConformer-TDT architecture. FastConformer [1] is an optimized version of the Conformer model with 8x depthwise-separable convolutional downsampling.
-You may find more information on the details of FastConformer here: Fast-Conformer Model.
-[Fast Conformer with Linearly Scalable Attention for Efficient
-Speech Recognition](https://arxiv.org/abs/2305.05084).
+Whisper is a Transformer based encoder-decoder model, also referred to as a sequence-to-sequence model.
+Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation.
 
 ## Uses
 Check out the Google Colab demo to run NeuraSpeech ASR on a free-tier Google Colab instance: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/12d7zecB94ah7ZHKnDtJF58saLzdkZAj3#scrollTo=oNt032WVkQUa)