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Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition
16 references·1 citing·30 second hop
Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition (2023)Hybrid data augmentation and deep attenti…Speech emotion recognition with deep convolutional neural networks (2020)Speech emotion recognition wi…Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Clustering-Based Speech Emoti…Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Speech Emotion Recognition Fr…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…End-to-End Speech Emotion Recognition Using Deep Neural Networks (2018)End-to-End Speech Emotion Rec…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching (2017)Speech Emotion Recognition Us…End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)End-to-End Multimodal Emotion…Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms (2017)Efficient Emotion Recognition…Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition us…CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset (2014)CREMA-D: Crowd-Sourced Emotio…Emotion recognition using a hierarchical binary decision tree approach (2011)Emotion recognition using a h…Automatic speech emotion recognition using modulation spectral features (2010)Automatic speech emotion reco…Primitives-based evaluation and estimation of emotions in speech (2007)Primitives-based evaluation a…A database of German emotional speech (2005)A database of German emotiona…Speech emotion recognition using hidden Markov models (2003)Speech emotion recognition us…Improving speech depression detection using transfer learning with wav2vec 2.0 in low-resource environments (2024)Improving speech depression d…Acoustic profiles in vocal emotion expression. (1996)Psychological Assessment Resources (1995)Comprehensive database for facial expression analysis (2002)IEMOCAP: interactive emotional dyadic motion capture database (2008)MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation (2020)The expression of the emotions in man and animals. (1872)Vocal affect expression: A review and a model for future research. (1986)Emotion recognition in human-computer interaction (2001)Emotional speech recognition: Resources, features, and methods (2006)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Vocal communication of emotion: A review of research paradigms (2003)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Multimodal Speech Emotion Recognition Using Audio and Text (2018)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Emotion Recognition from Speech Using wav2vec 2.0 Embeddings (2021)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Practical Bayesian Optimization of Machine Learning Algorithms (2012)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models (2021)
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References

  • 2005A database of German emotional speech2,365 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2014CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset925 cited
  • 2003Speech emotion recognition using hidden Markov models920 cited
  • 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
  • 2017End-to-End Multimodal Emotion Recognition Using Deep Neural Networks749 cited
  • 2020Speech emotion recognition with deep convolutional neural networks621 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2017Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching443 cited
  • 2017Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms422 cited
  • 2020Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM402 cited
  • 2010Automatic speech emotion recognition using modulation spectral features389 cited
  • 2019Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network356 cited
  • 2011Emotion recognition using a hierarchical binary decision tree approach355 cited

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2007
Primitives-based evaluation and estimation of emotions in speech
291 cited
  • 2018End-to-End Speech Emotion Recognition Using Deep Neural Networks289 cited
  • Cited by

    • 2024Improving speech depression detection using transfer learning with wav2vec 2.0 in low-resource environments58 cited