2018 Interspeech On Enhancing Speech Emotion Recognition using Generative Adversarial Networks

时间 2020-12-29

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两个GAN网络（不介绍了）两种GAN网络生成，一种粗糙的，一种条件gan。粗糙的不能合成1582维度的，不收敛。条件gan借助了label信息，可以生成1582维的。实验生成的数据怎么帮助最后的SER准确率 three sets of evaluations: (i) in-domain eval- uation合成的样本做训练数据 with and without real data (i

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7. 【论文总结】Enhancing Underwater Imagery using Generative Adversarial Networks
8. 论文解读《Enhancing Underwater Imagery using Generative Adversarial Networks》
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1. Enhancing Underwater Imagery using Generative Adversarial Networks
2. 2019 Interspeech speech emotoin recognition paper reading
3. Emotion Recognition Using Graph Convolutional Networks
4. Interspeech 2017 | Far-field Speech Recognition Technology
5. Interspeech 2017 | Self-adaptive Speech Recognition Technology
6. 文章：Emotion Recognition From Speech With Recurrent Neural Networks
7. 【论文总结】Enhancing Underwater Imagery using Generative Adversarial Networks
8. 论文解读《Enhancing Underwater Imagery using Generative Adversarial Networks》
9. Interspeech 2017 Series | Acoustic Model for Speech Recognition Technology
10. Graphical Generative Adversarial Networks

>>更多相关文章<<