Learning an Arousal-Valence Speech Front-End Network using Media Data In-the-Wild for Emotion Recognition
Author:
Affiliation:
1. National Tsing Hua University & MOST Joint Research Center for AI Technology and All Vista Healthcare, Hsinchu City, Taiwan Roc
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3266302.3266306
Reference40 articles.
1. Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network
2. Robust Unsupervised Arousal Rating:A Rule-Based Framework withKnowledge-Inspired Vocal Features
3. IEMOCAP: interactive emotional dyadic motion capture database
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