Strong Generalized Speech Emotion Recognition Based on Effective Data Augmentation

Strong Generalized Speech Emotion Recognition Based on Effective Data Augmentation

The absence of labeled samples limits the development of speech emotion recognition (SER). Data augmentation is an effective way to address sample sparsity. However, there is a lack of research on data augmentation algorithms in the field of SER. In this paper, the effectiveness of classical acousti...

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Bibliographic Details
Main Authors: Huawei Tao, Shuai Shan, Ziyi Hu, Chunhua Zhu, Hongyi Ge
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Entropy
Subjects:
speech emotion recognition
data augmentation
multi-channel feature extractor
Wasserstein distance
feature distributions
speaker-invariant emotional representations
Online Access:https://www.mdpi.com/1099-4300/25/1/68

Internet

https://www.mdpi.com/1099-4300/25/1/68

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