Adding information about the recent developments

Author: AchintyaX

README.md

@@ -5,12 +5,13 @@ We have designed the toolkit to be able to perform various forms of analysis on
 So far, we have been able to add the features of - 
 1. Sentiment Analysis - telling the sentiment of the audio, and how negative or positive it is 
 2. Named Entity Recognition - Telling the named enity like name of a person or a place that has been mentioned in the audio
+3. Emotion Detection - Finding the emotion present in the audio or the text transcripted from the audio 
 <br>
 Features in Development - 
 
 1. Aspect Based Sentiment Analysis - finding the sentiment of the audio with respect to a given term present in it 
 2. Keyword Identification - Given  a set of words, the model would tell if this word of words similar to the given words have been used in the audio. 
-3. Emotion Detection - Finding the emotion profile of a given audio
+3. Audio Similarity - Comparing the Similarity between the context in audio files. 
 ## ASR Model 
 
 For the purpose of Automatic Speech Recognition we are using DeepSpeech model which utilizes the CTC loss. We have trained the model on Common Voice Dataset made available by the Mozilla Foundation. 
@@ -26,4 +27,4 @@ We are using the DistilBERT model again for this task as well.
 
 ## Contributors 
 1. [Achintya Shankhdhar](https://github.com/AchintyaX) 
-2. [Anant Shankhdhar](https://github.com/AnantShankhdhar)
+2. [Anant Shankhdhar](https://github.com/AnantShankhdhar)