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Speech Emotion Recognition Using Generative Adversarial Network and Deep Convolutional Neural Network
16 references·0 citing·38 second hop
Speech Emotion Recognition Using Generative Adversarial Network and Deep Convolutional Neural Network (2023)Speech Emotion Recognition Using Generati…Speech emotion recognition with deep convolutional neural networks (2020)Speech emotion recognition wi…Human Emotion Recognition: Review of Sensors and Methods (2020)Human Emotion Recognition: Re…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 (2018)Speech emotion recognitionSpeech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network (2017)Speech Emotion Recognition fr…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…Speech emotion recognition using convolutional and Recurrent Neural Networks (2016)Speech emotion recognition us…Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition us…Speech Emotion Recognition Using CNN (2014)Speech Emotion Recognition Us…Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Features and classifiers for …Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Cross-Corpus Acoustic Emotion…A database of German emotional speech (2005)A database of German emotiona…Vocal communication of emotion: A review of research paradigms (2003)Vocal communication of emotio…Recognizing emotion in speech (2002)Recognizing emotion in speechThe phonetic description of voice quality (1980)Acoustic profiles in vocal emotion expression. (1996)A new emotion database: considerations, sources and scope (2000)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The expression of the emotions in man and animals. (1872)An argument for basic emotions (1992)Affective Computing (1997)Are Emotions Natural Kinds? (2006)Measures of emotion: A review (2009)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)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 in human-computer interaction (2001)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Engaged to a Robot? The Role of AI in Service (2020)Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap (2023)The Caring Machine: Feeling AI for Customer Care (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)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Facial Action Coding System (1978)A circumplex model of affect. (1980)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Emotion recognition based on EEG feature maps through deep learning network (2021)Emotion Recognition for Everyday Life Using Physiological Signals From Wearables: A Systematic Literature Review (2022)Emotion recognition from unimodal to multimodal analysis: A review (2023)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

  • 2005A database of German emotional speech2,370 cited
  • 2003Vocal communication of emotion: A review of research paradigms2,039 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
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2020Speech emotion recognition with deep convolutional neural networks621 cited
  • 2020Human Emotion Recognition: Review of Sensors and Methods586 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2018Speech emotion recognition547 cited
  • 2002Recognizing emotion in speech494 cited
  • 2012Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011428 cited
  • 2016Speech emotion recognition using convolutional and Recurrent Neural Networks422 cited
  • 2014Speech Emotion Recognition Using CNN416 cited
  • 2017Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network

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414 cited
  • 2010Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies389 cited
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