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Attention-LSTM-Attention Model for Speech Emotion Recognition and Analysis of IEMOCAP Database
16 references·9 citing·37 second hop
Attention-LSTM-Attention Model for Speech Emotion Recognition and Analysis of IEMOCAP Database (2020)Attention-LSTM-Attention Model for Speech…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…Multimodal Speech Emotion Recognition Using Audio and Text (2018)Multimodal Speech Emotion Rec…Emotion Recognition in Speech using Cross-Modal Transfer in the Wild (2018)Emotion Recognition in Speech…CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation (2018)CNN+LSTM Architecture for Spe…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech (2017)Attentive Convolutional Neura…A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)A Dual-Stage Attention-Based …Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Adieu features? End-to-end sp…Towards a Small Set of Robust Acoustic Features for Emotion Recognition: Challenges (2015)Towards a Small Set of Robust…High-level feature representation using recurrent neural network for speech emotion recognition (2015)High-level feature representa…Emotion recognition from speech: a review (2012)Emotion recognition from spee…Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Deep neural networks for acou…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals (2007)The relevance of feature type…Emotion recognition in the noise applying large acoustic feature sets (2006)Emotion recognition in the no…Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review (2024)Speech Databases, Speech Feat…Wavelet Multiresolution Analysis Based Speech Emotion Recognition System Using 1D CNN LSTM Networks (2023)Wavelet Multiresolution Analy…Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer (2023)Speech Emotion Recognition Us…Speech emotion recognition based on convolutional neural network with attention-based bidirectional long short-term memory network and multi-task learning (2022)Speech emotion recognition ba…Emotional Speech Recognition Using Deep Neural Networks (2022)Emotional Speech Recognition …Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning (2022)Bringing Emotion Recognition …Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution (2022)Attention-Based Multi-Learnin…Spatiotemporal and frequential cascaded attention networks for speech emotion recognition (2021)Spatiotemporal and frequentia…A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition (2021)A Novel Attention-Based Gated…Vocal communication of emotion: A review of research paradigms (2003)A database of German emotional speech (2005)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors (2018)Databases, features and classifiers for speech emotion recognition: a review (2018)Speech emotion recognition (2018)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)A review of affective computing: From unimodal analysis to multimodal fusion (2017)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Acoustic profiles in vocal emotion expression. (1996)Speech emotion recognition using hidden Markov models (2003)A Comprehensive Review of Speech Emotion Recognition Systems (2021)Multimodal Emotion Recognition using Deep Learning (2021)Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)Affective computing in education: A systematic review and future research (2019)Adaptively Learning Facial Expression Representation via C-F Labels and Distillation (2021)Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition (2021)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Speech emotion recognition with deep convolutional neural networks (2020)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach (2020)Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities (2022)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,646 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 cited
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2012Emotion recognition from speech: a review644 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2015High-level feature representation using recurrent neural network for speech emotion recognition406 cited
  • 2018Multimodal Speech Emotion Recognition Using Audio and Text379 cited
  • 2018Emotion Recognition in Speech using Cross-Modal Transfer in the Wild297 cited
  • 2011Deep neural networks for acoustic emotion recognition: Raising the benchmarks288 cited
  • 2017Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech249 cited
  • 2007The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals191 cited
  • 2018CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation

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155 cited
  • 2006Emotion recognition in the noise applying large acoustic feature sets103 cited
  • 2015Towards a Small Set of Robust Acoustic Features for Emotion Recognition: Challenges97 cited
  • Cited by

    • 2022Speech emotion recognition based on convolutional neural network with attention-based bidirectional long short-term memory network and multi-task learning84 cited
    • 2022Emotional Speech Recognition Using Deep Neural Networks83 cited
    • 2021Spatiotemporal and frequential cascaded attention networks for speech emotion recognition79 cited
    • 2023Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer73 cited
    • 2021A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition65 cited
    • 2022Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning65 cited
    • 2022Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution57 cited
    • 2024Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review56 cited
    • 2023Wavelet Multiresolution Analysis Based Speech Emotion Recognition System Using 1D CNN LSTM Networks49 cited