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Attention gated tensor neural network architectures for speech emotion recognition
16 references·0 citing·33 second hop
Attention gated tensor neural network architectures for speech emotion recognition (2021)Attention gated tensor neural network arc…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network (2017)Speech Emotion Recognition fr…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…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Adieu features? End-to-end sp…The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Geneva Minimalistic Acous…Speech Emotion Recognition Using CNN (2014)Speech Emotion Recognition Us…Proceedings of the 22nd ACM international conference on Multimedia (2014)Proceedings of the 22nd ACM i…Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Learning Salient Features for…The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)The INTERSPEECH 2013 computat…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Emotion recognition from speech: a review (2012)Emotion recognition from spee…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…The INTERSPEECH 2009 emotion challenge (2009)The INTERSPEECH 2009 emotion …Emotion recognition in human-computer interaction (2001)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)The Vera am Mittag German audio-visual emotional speech database (2008)AVEC 2013 (2013)Review on Psychological Stress Detection Using Biosignals (2019)Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A review of affective computing: From unimodal analysis to multimodal fusion (2017)A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise (1964)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (2016)A Tutorial on Bayesian Optimization (2018)Using uh and um in spontaneous speaking (2002)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Social Signal Processing (2017)Automated assessment of psychiatric disorders using speech: A systematic review (2020)Acoustic profiles in vocal emotion expression. (1996)Praat, a system for doing phonetics by computer (2002)A database of German emotional speech (2005)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Vocal communication of emotion: A review of research paradigms (2003)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)IEMOCAP: interactive emotional dyadic motion capture database (2008)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)Speech emotion recognition with deep convolutional neural networks (2020)User profiling and behavioral adaptation for HRI: A survey (2017)A systematic literature review of speech emotion recognition approaches (2022)A systematic review of digital transformation technologies in museum exhibition (2024)
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References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,967 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,089 cited
  • 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2009The INTERSPEECH 2009 emotion challenge936 cited
  • 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network908 cited
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2017End-to-End Multimodal Emotion Recognition Using Deep Neural Networks749 cited
  • 2013The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism733 cited
  • 2014Proceedings of the 22nd ACM international conference on Multimedia725 cited
  • 2012Emotion recognition from speech: a review644 cited
  • 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2017Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms

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422 cited
  • 2014Speech Emotion Recognition Using CNN416 cited
  • 2017Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network414 cited
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