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On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks
4 references·5 citing·27 second hop
On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks (2018)On Enhancing Speech Emotion Recognition U…Learning representations of emotional speech with deep convolutional generative adversarial networks (2017)Learning representations of e…Adversarial Auto-Encoders for Speech Based Emotion Recognition (2017)Adversarial Auto-Encoders for…MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)MSP-IMPROV: An Acted Corpus o…Predicting client's inclination towards target behavior change in motivational interviewing and investigating the role of laughter (2014)Predicting client's inclinati…Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition (2023)Hybrid data augmentation and …Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition (2022)Multitask Learning From Augme…A novel convolutional neural network with gated recurrent unit for automated speech emotion recognition and classification (2022)A novel convolutional neural …Cross-Corpus Speech Emotion Recognition Based on Few-Shot Learning and Domain Adaptation (2021)Cross-Corpus Speech Emotion R…Speaker-Invariant Affective Representation Learning via Adversarial Training (2020)Speaker-Invariant Affective R…Acoustic profiles in vocal emotion expression. (1996)A database of German emotional speech (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings (2017)K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations (2020)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)Laughter in interaction (2004)Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language (2013)Laughing and Crying: A Study of the Limits of Human Behavior (2020)The SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent (2011)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)A Review of Generalizable Transfer Learning in Automatic Emotion Recognition (2020)Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching (2020)Speech emotion recognition (2018)Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement (2023)CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset (2014)EEG-Based Emotion Recognition for Hearing Impaired and Normal Individuals With Residual Feature Pyramids Network Based on Time–Frequency–Spatial Features (2023)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Improving speech depression detection using transfer learning with wav2vec 2.0 in low-resource environments (2024)Emotional speech recognition: Resources, features, and methods (2006)Evaluating deep learning architectures for Speech Emotion Recognition (2017)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Robust Facial Expression Recognition Using an Evolutionary Algorithm with a Deep Learning Model (2022)CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition (2019)Spatiotemporal and frequential cascaded attention networks for speech emotion recognition (2021)Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review (2024)Refashioning Emotion Recognition Modeling: The Advent of Generalized Large Models (2024)
this work references cited by second hop

References

  • 2016MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception391 cited
  • 2017Learning representations of emotional speech with deep convolutional generative adversarial networks112 cited
  • 2017Adversarial Auto-Encoders for Speech Based Emotion Recognition91 cited
  • 2014Predicting client's inclination towards target behavior change in motivational interviewing and investigating the role of laughter11 cited

Cited by

  • 2023Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition61 cited
  • 2020Speaker-Invariant Affective Representation Learning via Adversarial Training57 cited
  • 2021Cross-Corpus Speech Emotion Recognition Based on Few-Shot Learning and Domain Adaptation56 cited
  • 2022A novel convolutional neural network with gated recurrent unit for automated speech emotion recognition and classification50 cited
  • 2022Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition42 cited

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