2020
Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models
ICASSP 2020accepted
In this paper, we propose to use pre-trained features from end-to-end ASR models to solve speech sentiment analysis as a down-stream task. We show that end-to-end ASR features, which integrate both acoustic and text information from speech, achieve promising results. We use RNN with self-attention a…