2020
Fusion Approaches for Emotion Recognition from Speech Using Acoustic and Text-Based Features
ICASSP 2020accepted
In this paper, we study different approaches for classifying emotions from speech using acoustic and text-based features. We propose to obtain contextualized word embeddings with BERT to represent the information contained in speech transcriptions and show that this results in better performance tha…