Update README.md

README.md

@@ -7,7 +7,6 @@ license: cc-by-nc-4.0
 ECAPA2 is a hybrid neural network architecture and training strategy for generating robust speaker embeddings. 
 The provided pre-trained model has an easy-to-use API to extract speaker embeddings and other hierarchical features.
 
-The main purpose of this model is to provide an easy method to extract state-of-the-art speaker embeddings and other features for downstream tasks.
 The speaker embeddings are recommended for tasks which rely directly on the speaker identificatation (e.g. speaker verification and speaker diarization).
 The hierarchical features are most useful for tasks capturing intra-speaker variance (e.g. emotion recognition and speaker profiling) and prove complimentary with the speaker embedding in our experience.