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Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks

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References

2009The INTERSPEECH 2009 emotion challenge929 cited
2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited
2011Deep neural networks for acoustic emotion recognition: Raising the benchmarks288 cited

Cited by

2018A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression92 cited
2020Emotion recognition using speech and neural structured learning to facilitate edge intelligence73 cited
2019Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition70 cited
2018Speech emotion recognition research: an analysis of research focus68 cited
2015Speech emotion recognition in emotional feedback for Human-Robot Interaction62 cited
2016Unsupervised domain adaptation for speech emotion recognition using PCANet58 cited
2018Effective Attention Mechanism in Dynamic Models for Speech Emotion Recognition53 cited
2022Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm50 cited
2018Emotion recognition in speech signals using optimization based multi-SVNN classifier49 cited
2017Learning emotion-discriminative and domain-invariant features for domain adaptation in speech emotion recognition

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48 cited

2017DCNN and DNN based multi-modal depression recognition46 cited

2019Multi-Modal Learning for Speech Emotion Recognition: An Analysis and Comparison of ASR Outputs with Ground Truth Transcription43 cited

2021Effect on speech emotion classification of a feature selection approach using a convolutional neural network40 cited

2014Multi-scale Temporal Modeling for Dimensional Emotion Recognition in Video39 cited