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Study on emotion recognition and companion Chatbot using deep neural network
6 references·1 citing·26 second hop
Study on emotion recognition and companion Chatbot using deep neural network (2020)Study on emotion recognition and companio…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…Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network (2017)Speech Emotion Recognition fr…Survey on audiovisual emotion recognition: databases, features, and data fusion strategies (2014)Survey on audiovisual emotion…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…A database of German emotional speech (2005)A database of German emotiona…Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review (2024)Speech Databases, Speech Feat…Acoustic profiles in vocal emotion expression. (1996)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)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)The Handbook of Social Psychology (1969)A circumplex model of affect. (1980)Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition (2017)A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods (2023)A systematic survey on multimodal emotion recognition using learning algorithms (2023)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Multimodal Speech Emotion Recognition Using Audio and Text (2018)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)A Comprehensive Review of Speech Emotion Recognition Systems (2021)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)Speech emotion recognition with deep convolutional neural networks (2020)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics (2024)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)
this work references cited by second hop

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
  • 2017Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network414 cited
  • 2014Survey on audiovisual emotion recognition: databases, features, and data fusion strategies184 cited

Cited by

  • 2024Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review56 cited

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