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Cited by

• 2019Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction195 cited
• 2019An Assessment of Paralinguistic Acoustic Features for Detection of Alzheimer's Dementia in Spontaneous Speech191 cited
• 2017Semisupervised Autoencoders for Speech Emotion Recognition153 cited
• 2020Stargan for Emotional Speech Conversion: Validated by Data Augmentation of End-To-End Emotion Recognition111 cited
• 2014The INTERSPEECH 2014 computational paralinguistics challenge: cognitive & physical load108 cited
• 2015Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human–Human and Human–Machine Interactions106 cited
• 2018The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats105 cited
• 2015Review of Semantic-Free Utterances in Social Human–Robot Interaction91 cited
• 2019Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset77 cited
• 2014Automatic modelling of depressed speech: relevant features and relevance of gender67 cited
• 2014A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge66 cited
• 2018Deep Learning in Paralinguistic Recognition Tasks: Are Hand-crafted Features Still Relevant?55 cited
• 2018Affective and behavioural computing: Lessons learnt from the First Computational Paralinguistics Challenge