2018 Interspeech On Enhancing Speech Emotion Recognition using Generative Adversarial Networks
兩個GAN網絡（不介紹了） 兩種GAN網絡生成，一種粗糙的，一種條件gan。粗糙的不能合成1582維度的，不收斂。條件gan藉助了label信息，可以生成1582維的。 實驗 生成的數據怎麼幫助最後的SER準確率 three sets of evaluations: (i) in-domain eval- uation合成的樣本做訓練數據 with and without real data (i
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相關文章
- 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. 【論文總結】Enhancing Underwater Imagery using Generative Adversarial Networks
- 8. 論文解讀《Enhancing Underwater Imagery using Generative Adversarial Networks》
- 9. Interspeech 2017 Series | Acoustic Model for Speech Recognition Technology
- 10. Graphical Generative Adversarial Networks