Strong generalized speech emotion recognition based on effective data augmentation

HIGHLIGHTS

  • who: Huawei Tao and colleagues from the Henan University of Technology, Zhengzhou, China have published the paper: Strong Generalized Speech Emotion Recognition Based on Effective Data Augmentation, in the Journal: Entropy 2023, 25, x FOR PEER REVIEW of /2023/
  • what: In this paper the effectiveness of classical acoustic data augmentation methods in SER is analyzed which a model effective data augmentation is proposed. In Table the authors report the performance of the proposed strong generalized speech emotion under themodel speaker-independent experimental strategy. The authors compare algorithms that use deep learning. The model proposed in . . .

     

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