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1D-CNN: Speech Emotion Recognition System Using a Stacked Network with Dilated CNN Features
16 references·0 citing·27 second hop
1D-CNN: Speech Emotion Recognition System Using a Stacked Network with Dilated CNN Features (2021)1D-CNN: Speech Emotion Recognition System…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 Using Deep Learning Techniques: A Review (2019)Speech Emotion Recognition Us…Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Speech Emotion Recognition Fr…Bagged support vector machines for emotion recognition from speech (2019)Bagged support vector machine…A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)A CNN-Assisted Enhanced Audio…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)The Ryerson Audio-Visual Data…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…Databases, features and classifiers for speech emotion recognition: a review (2018)Databases, features and class…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…Speech emotion recognition based on feature selection and extreme learning machine decision tree (2017)Speech emotion recognition ba…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition us…Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Learning Salient Features for…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…A database of German emotional speech (2005)A database of German emotiona…Acoustic profiles in vocal emotion expression. (1996)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)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)Emotion recognition in human-computer interaction (2001)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)The Measurement of Observer Agreement for Categorical Data (1977)Intraclass correlations: Uses in assessing rater reliability. (1979)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics (2024)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Practical Bayesian Optimization of Machine Learning Algorithms (2012)What are emotions? And how can they be measured? (2005)A Comprehensive Review of Speech Emotion Recognition Systems (2021)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)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)Emotion Recognition from Speech Using wav2vec 2.0 Embeddings (2021)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
  • 2005A database of German emotional speech2,365 cited
  • 2018The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English1,898 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
  • 2019Speech Emotion Recognition Using Deep Learning Techniques: A Review689 cited
  • 2020Speech emotion recognition with deep convolutional neural networks621 cited
  • 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2020Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM402 cited
  • 2019A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition393 cited
  • 2018Databases, features and classifiers for speech emotion recognition: a review356 cited
  • 2019Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network

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356 cited
  • 2017Speech emotion recognition based on feature selection and extreme learning machine decision tree267 cited
  • 2019Bagged support vector machines for emotion recognition from speech248 cited
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