Impact of emotion type on emotion recognition through vocal channel

Chenchah, Farah; Lachiri, Zied

doi:10.1109/scc47175.2019.9116103

2019 International Conference on Signal, Control and Communication (SCC) 2019

DOI: 10.1109/scc47175.2019.9116103

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Impact of emotion type on emotion recognition through vocal channel

Farah Chenchah

Zied Lachiri

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2022

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Strong Generalized Speech Emotion Recognition Based on Effective Data Augmentation

Tao

Shan

et al. 2022

Entropy

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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 acoustic data augmentation methods in SER is analyzed, based on which a strong generalized speech emotion recognition model based on effective data augmentation is proposed. The model uses a multi-channel feature extractor consisting of multiple sub-networks to extract emotional representations. Different kinds of augmented data that can effectively improve SER performance are fed into the sub-networks, and the emotional representations are obtained by the weighted fusion of the output feature maps of each sub-network. And in order to make the model robust to unseen speakers, we employ adversarial training to generalize emotion representations. A discriminator is used to estimate the Wasserstein distance between the feature distributions of different speakers and to force the feature extractor to learn the speaker-invariant emotional representations by adversarial training. The simulation experimental results on the IEMOCAP corpus show that the performance of the proposed method is 2–9% ahead of the related SER algorithm, which proves the effectiveness of the proposed method.

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Strong Generalized Speech Emotion Recognition Based on Effective Data Augmentation

Tao

Shan

et al. 2022

Entropy

View full text Add to dashboard Cite

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Impact of emotion type on emotion recognition through vocal channel

Cited by 1 publication

References 9 publications

Strong Generalized Speech Emotion Recognition Based on Effective Data Augmentation

Strong Generalized Speech Emotion Recognition Based on Effective Data Augmentation

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