Jiyun Zou

HGFM : A Hierarchical Grained and Feature Model for Acoustic Emotion Recognition

To solve the problem of poor classification performance of multiple complex emotions in acoustic modalities, we propose a hierarchical grained and feature model (HGFM). The frame-level and utterance-level structures of acoustic samples are processed by the recurrent neural network. The model include…