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A Combined CNN Architecture for Speech Emotion Recognition
16 references·0 citing·39 second hop
A Combined CNN Architecture for Speech Emotion Recognition (2024)A Combined CNN Architecture for Speech Em…Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions (2021)Deep Learning: A Comprehensiv…Speech emotion recognition with deep convolutional neural networks (2020)Speech emotion recognition wi…Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Emotion recognition using mul…Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Clustering-Based Speech Emoti…Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition: E…Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech Emotion Recognition Us…Emotion Recognition from Physiological Signal Analysis: A Review (2019)Emotion Recognition from Phys…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…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset (2014)CREMA-D: Crowd-Sourced Emotio…Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…A database of German emotional speech (2005)A database of German emotiona…Basic Emotions (1999)Basic EmotionsThe phonetic description of voice quality (1980)Acoustic profiles in vocal emotion expression. (1996)A new emotion database: considerations, sources and scope (2000)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Cognitive representations of semantic categories. (1975)An effect size primer: A guide for clinicians and researchers. (2009)Praat: Doing Phonetics by Computer (2011)Ambulatory Assessment (2012)The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)Psychological Assessment Resources (1995)Reliability in Content Analysis. (2004)MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation (2020)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 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)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)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)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Comprehensive Review of Speech Emotion Recognition Systems (2021)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Approximate entropy as a measure of system complexity. (1991)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022)Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism (2023)The effects of artificial intelligence applications in educational settings: Challenges and strategies (2023)Emotion recognition in human-computer interaction (2001)A survey of socially interactive robots (2003)The weirdest people in the world? (2010)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2021Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions2,700 cited
  • 2005A database of German emotional speech2,370 cited
  • 1999Basic Emotions2,276 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
  • 2014CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset925 cited
  • 2020Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review804 cited
  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers725 cited
  • 2019Speech Emotion Recognition Using Deep Learning Techniques: A Review689 cited
  • 2020Speech emotion recognition with deep convolutional neural networks621 cited
  • 2019Emotion Recognition from Physiological Signal Analysis: A Review562 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition

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503 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
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