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Unsupervised learning in cross-corpus acoustic emotion recognition

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References

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2019Curriculum Learning for Speech Emotion Recognition From Crowdsourced Labels97 cited
2019Analysis of Deep Learning Architectures for Cross-Corpus Speech Emotion Recognition89 cited
2019CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition

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87 cited

2017Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences83 cited

2015Supervised domain adaptation for emotion recognition from speech80 cited

2017Towards Speech Emotion Recognition “in the Wild” Using Aggregated Corpora and Deep Multi-Task Learning78 cited

2017Efficient and effective strategies for cross-corpus acoustic emotion recognition77 cited

2021EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition76 cited

2016Enhanced semi-supervised learning for multimodal emotion recognition72 cited

2022Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition71 cited

2014Robust Unsupervised Arousal Rating:A Rule-Based Framework withKnowledge-Inspired Vocal Features66 cited

2019Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition64 cited

2018Multiscale Amplitude Feature and Significance of Enhanced Vocal Tract Information for Emotion Classification56 cited