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Typicality and emotion in the voice of children with autism spectrum condition: evidence across three languages
6 references·2 citing·36 second hop
Typicality and emotion in the voice of children with autism spectrum condition: evidence across three languages (2015)Typicality and emotion in the voice of ch…The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Geneva Minimalistic Acous…The INTERSPEECH 2014 computational paralinguistics challenge: cognitive & physical load (2014)The INTERSPEECH 2014 computat…The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)The INTERSPEECH 2013 computat…Rachel: Design of an emotionally targeted interactive agent for children with autism (2011)Rachel: Design of an emotiona…Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Cross-Corpus Acoustic Emotion…Automatic Intonation Recognition for the Prosodic Assessment of Language-Impaired Children (2010)Automatic Intonation Recognit…Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review (2024)Sensing technologies and mach…Automatic Analysis of Typical and Atypical Encoding of Spontaneous Emotion in the Voice of Children (2016)Automatic Analysis of Typical…Intransitivity of preferences. (1969)Early language acquisition: cracking the speech code (2004)Diagnostic and Statistical Manual of Mental Disorders (2013)Random subset feature selection in automatic recognition of developmental disorders, affective states, and level of conflict from speech (2013)Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models (2016)Affective and behavioural computing: Lessons learnt from the First Computational Paralinguistics Challenge (2018)Affective Computing (1997)Emotion recognition in human-computer interaction (2001)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition (2013)Emotion Recognition in Speech using Cross-Modal Transfer in the Wild (2018)Using uh and um in spontaneous speaking (2002)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Social Signal Processing (2017)Automated assessment of psychiatric disorders using speech: A systematic review (2020)Toward machine emotional intelligence: analysis of affective physiological state (2001)Playing with virtual peers: bootstrapping contingent discourse in children with autism (2008)Detecting emotional state of a child in a conversational computer game (2010)Sensors in the wild: Exploring electrodermal activity in child-robot interaction (2013)Conversational Agents in Therapeutic Interventions for Neurodevelopmental Disorders: A Survey (2022)Individual differences in working memory and reading (1980)An automated version of the operation span task (2005)Working memory span tasks: A methodological review and user’s guide (2005)Ensemble CCA for Continuous Emotion Prediction (2014)AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge (2016)A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise (2023)Acoustic profiles in vocal emotion expression. (1996)Praat, a system for doing phonetics by computer (2002)A database of German emotional speech (2005)Diagnostic and Statistical Manual of Mental Disorders (2012)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Human Emotion Recognition: Review of Sensors and Methods (2020)PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews (2020)
this work references cited by second hop

References

  • 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
  • 2013The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism733 cited
  • 2010Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies389 cited
  • 2014The INTERSPEECH 2014 computational paralinguistics challenge: cognitive & physical load108 cited
  • 2011Rachel: Design of an emotionally targeted interactive agent for children with autism72 cited
  • 2010Automatic Intonation Recognition for the Prosodic Assessment of Language-Impaired Children59 cited

Cited by

  • 2024Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review33 cited
  • 2016Automatic Analysis of Typical and Atypical Encoding of Spontaneous Emotion in the Voice of Children32 cited

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