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Detecting emotional state of a child in a conversational computer game
15 references·10 citing·44 second hop
Detecting emotional state of a child in a conversational computer game (2010)Detecting emotional state of a child in a…The INTERSPEECH 2009 emotion challenge (2009)The INTERSPEECH 2009 emotion …OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit (2009)OpenEAR — Introducing the mun…Towards More Reality in the Recognition of Emotional Speech (2007)Towards More Reality in the R…The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals (2007)The relevance of feature type…Ensemble methods for spoken emotion recognition in call-centres (2006)Ensemble methods for spoken e…Combining Efforts for Improving Automatic Classification of Emotional User States (2006)Combining Efforts for Improvi…Using Context to Improve Emotion Detection in Spoken Dialog Systems (2005)Using Context to Improve Emot…Toward detecting emotions in spoken dialogs (2005)Toward detecting emotions in …Predicting student emotions in computer-human tutoring dialogues (2004)Predicting student emotions i…Speech emotion recognition using hidden Markov models (2003)Speech emotion recognition us…Prosody-based automatic detection of annoyance and frustration in human-computer dialog (2002)Prosody-based automatic detec…Politeness and frustration language in child-machine interactions (2001)Politeness and frustration la…Emotion recognition in human-computer interaction (2001)Emotion recognition in human-…Cross-linguistic evidence for the early acquisition of discourse markers as register variables (1999)Cross-linguistic evidence for…Acoustics of children’s speech: Developmental changes of temporal and spectral parameters (1999)Acoustics of children’s speec…The Last Decade of HCI Research on Children and Voice-based Conversational Agents (2022)The Last Decade of HCI Resear…Deep Cross-Corpus Speech Emotion Recognition: Recent Advances and Perspectives (2021)Deep Cross-Corpus Speech Emot…Emotion, age, and gender classification in children’s speech by humans and machines (2017)Emotion, age, and gender clas…The USC CreativeIT database of multimodal dyadic interactions: from speech and full body motion capture to continuous emotional annotations (2015)The USC CreativeIT database o…Robust emotion recognition in noisy speech via sparse representation (2013)Robust emotion recognition in…Gamelike features might not improve data (2012)Gamelike features might not i…Rachel: Design of an emotionally targeted interactive agent for children with autism (2011)Rachel: Design of an emotiona…Affective signal processing (ASP) : unraveling the mystery of emotions (2011)Affective signal processing (…“That’s Aggravating, Very Aggravating”: Is It Possible to Classify Behaviors in Couple Interactions Using Automatically Derived Lexical Features? (2011)“That’s Aggravating, Very Agg…Automatic classification of married couples' behavior using audio features (2010)Automatic classification of m…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)AVEC 2013 (2013)Review on Psychological Stress Detection Using Biosignals (2019)Recognizing emotion in speech (2002)Challenges in real-life emotion annotation and machine learning based detection (2005)The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data (2007)EEG-based emotion recognition during watching movies (2011)Control Methods Used in a Study of the Vowels (1952)Acoustic characteristics of American English vowels (1995)Morphology and development of the human vocal tract: A study using magnetic resonance imaging (1999)Interaction between the native and second language phonetic subsystems (2003)The Revised Speech Learning Model (SLM-r) (2021)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)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)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)Acoustic profiles in vocal emotion expression. (1996)Assessing agreement on classification tasks: the kappa statistic (1996)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Emotional speech recognition: Resources, features, and methods (2006)Vocal affect expression: A review and a model for future research. (1986)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion (1993)On the universality and cultural specificity of emotion recognition: A meta-analysis. (2002)Vocal communication of emotion: A review of research paradigms (2003)Speech emotion recognition based on feature selection and extreme learning machine decision tree (2017)Speech Emotion Classification Using Attention-Based LSTM (2019)Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models (2021)How to find trouble in communication (2003)The production and recognition of emotions in speech: features and algorithms (2003)A survey of affect recognition methods (2007)AUTOMATIC DETECTION OF LEARNER'S AFFECT FROM GROSS BODY LANGUAGE (2009)Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment (2018)A database of German emotional speech (2005)Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Praat: Doing Phonetics by Computer (2011)Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition (2013)Recurrent Neural Networks for Emotion Recognition in Video (2015)Praat, a system for doing phonetics by computer (2002)Whodunnit – Searching for the most important feature types signalling emotion-related user states in speech (2010)Multimodal assistive technologies for depression diagnosis and monitoring (2013)Multi-level Attention Network using Text, Audio and Video for Depression Prediction (2019)
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References

  • 2001Emotion recognition in human-computer interaction2,601 cited
  • 2005Toward detecting emotions in spoken dialogs969 cited
  • 2009The INTERSPEECH 2009 emotion challenge929 cited
  • 2003Speech emotion recognition using hidden Markov models920 cited
  • 1999Acoustics of children’s speech: Developmental changes of temporal and spectral parameters826 cited
  • 2009OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit418 cited
  • 2002Prosody-based automatic detection of annoyance and frustration in human-computer dialog390 cited
  • 2006Ensemble methods for spoken emotion recognition in call-centres320 cited
  • 2007The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals191 cited
  • 2004Predicting student emotions in computer-human tutoring dialogues181 cited
  • 2007Towards More Reality in the Recognition of Emotional Speech124 cited
  • 2006Combining Efforts for Improving Automatic Classification of Emotional User States119 cited
  • 1999Cross-linguistic evidence for the early acquisition of discourse markers as register variables94 cited
  • 2005Using Context to Improve Emotion Detection in Spoken Dialog Systems94 cited
  • 2001

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Politeness and frustration language in child-machine interactions
49 cited

Cited by

  • 2011Rachel: Design of an emotionally targeted interactive agent for children with autism72 cited
  • 2022The Last Decade of HCI Research on Children and Voice-based Conversational Agents71 cited
  • 2015The USC CreativeIT database of multimodal dyadic interactions: from speech and full body motion capture to continuous emotional annotations62 cited
  • 2012Gamelike features might not improve data61 cited
  • 2017Emotion, age, and gender classification in children’s speech by humans and machines57 cited
  • 2011“That’s Aggravating, Very Aggravating”: Is It Possible to Classify Behaviors in Couple Interactions Using Automatically Derived Lexical Features?56 cited
  • 2013Robust emotion recognition in noisy speech via sparse representation49 cited
  • 2010Automatic classification of married couples' behavior using audio features49 cited
  • 2011Affective signal processing (ASP) : unraveling the mystery of emotions46 cited
  • 2021Deep Cross-Corpus Speech Emotion Recognition: Recent Advances and Perspectives43 cited