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DNN-based Emotion Recognition Based on Bottleneck Acoustic Features and Lexical Features

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References

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2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
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2018Deep Mul Timodal Learning for Emotion Recognition in Spoken Language54 cited

Cited by

2023TDFNet: Transformer-Based Deep-Scale Fusion Network for Multimodal Emotion Recognition52 cited
2022

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Speech Emotion Recognition Based on Self-Attention Weight Correction for Acoustic and Text Features

39 cited