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The INTERSPEECH 2009 emotion challenge
2 references·16 citing·42 second hopsampled
The INTERSPEECH 2009 emotion challenge (2009)The INTERSPEECH 2009 emotion challengeA Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…Emotion recognition in human-computer interaction (2001)Emotion recognition in human-…Speech Emotion Classification Using Attention-Based LSTM (2019)Speech Emotion Classification…Review on Psychological Stress Detection Using Biosignals (2019)Review on Psychological Stres…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)MSP-IMPROV: An Acted Corpus o…AVEC 2014 (2014)AVEC 2014Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition (2013)Sparse Autoencoder-Based Feat…Deep learning for robust feature generation in audiovisual emotion recognition (2013)Deep learning for robust feat…AVEC 2013 (2013)AVEC 2013Paralinguistics in speech and language—State-of-the-art and the challenge (2012)Paralinguistics in speech and…Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Features and classifiers for …Categorical and dimensional affect analysis in continuous input: Current trends and future directions (2012)Categorical and dimensional a…Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…Emotion recognition using a hierarchical binary decision tree approach (2011)Emotion recognition using a h…Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Deep neural networks for acou…Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Cross-Corpus Acoustic Emotion…OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit (2009)OpenEAR — Introducing the mun…Development of a Rating Scale for Primary Depressive Illness (1967)Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients (1996)Affective Computing (1997)AVEC 2016 (2016)EEG Based Emotion Recognition: A Tutorial and Review (2022)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)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Toward detecting emotions in spoken dialogs (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)The expression of the emotions in man and animals. (1872)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Emotion And Adaptation (1991)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 Cognitive Structure of Emotions (1988)Affect Grid: A single-item scale of pleasure and arousal. (1989)Facial emotion recognition using deep learning: review and insights (2020)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)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Deep Facial Expression Recognition: A Survey (2020)A database of German emotional speech (2005)Recurrent Neural Networks for Emotion Recognition in Video (2015)A circumplex model of affect. (1980)Stress, appraisal, and coping (1985)A Review on Mental Stress Assessment Methods Using EEG Signals (2021)A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques (2021)A review on EEG-based multimodal learning for emotion recognition (2025)Aff-Wild: Valence and Arousal ‘In-the-Wild’ Challenge (2017)Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond (2019)Natural language processing applied to mental illness detection: a narrative review (2022)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)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 cited
  • 2001Emotion recognition in human-computer interaction2,601 cited

Cited by

  • 2019Review on Psychological Stress Detection Using Biosignals763 cited
  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2013AVEC 2013584 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2014AVEC 2014475 cited
  • 2012Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011428 cited
  • 2009OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit418 cited
  • 2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited
  • 2016MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception391 cited
  • 2010Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies389 cited
  • 2013Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition366 cited
  • 2012Categorical and dimensional affect analysis in continuous input: Current trends and future directions360 cited

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2011
Emotion recognition using a hierarchical binary decision tree approach
355 cited
  • 2011Deep neural networks for acoustic emotion recognition: Raising the benchmarks288 cited
  • 2012Paralinguistics in speech and language—State-of-the-art and the challenge286 cited
  • 2019Speech Emotion Classification Using Attention-Based LSTM282 cited