Towards Noise Robust Speech Emotion Recognition Using Dynamic Layer Customization

2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)(2021)

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摘要
Robustness to environmental noise is important to creating automatic speech emotion recognition systems that are deployable in the real world. In this work, we experiment with two paradigms, one where we can anticipate noise sources that will be seen at test time and one where we cannot. In our first experiment, we assume that we have advance knowledge of the noise conditions that will be seen at ...
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关键词
Training,Emotion recognition,Adaptation models,Shape,Heuristic algorithms,Working environment noise,Speech recognition
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