SpeechEQ: Speech Emotion Recognition based on Multi-scale Unified Datasets and Multitask Learning. (arXiv:2206.13101v2 [cs.SD] UPDATED)

Speech emotion recognition (SER) has many challenges, but one of the main
challenges is that each framework does not have a unified standard. In this
paper, we propose SpeechEQ, a framework for unifying SER tasks based on a
multi-scale unified metric. This metric can be trained by Multitask Learning
(MTL), which includes two emotion recognition tasks of Emotion States Category
(EIS) and Emotion Intensity Scale (EIS), and two auxiliary tasks of phoneme
recognition and gender recognition. For this framework, we …

arxiv datasets emotion learning multitask learning scale speech