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Modeling mutual influence of interlocutor emotion states in dyadic spoken interactions
6 references·8 citing·43 second hop
Modeling mutual influence of interlocutor emotion states in dyadic spoken interactions (2009)Modeling mutual influence of interlocutor…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Audio-Visual Emotion Recognition Using Gaussian Mixture Models for Face and Voice (2008)Audio-Visual Emotion Recognit…Primitives-based evaluation and estimation of emotions in speech (2007)Primitives-based evaluation a…Using Context to Improve Emotion Detection in Spoken Dialog Systems (2005)Using Context to Improve Emot…Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Analysis of emotion recogniti…Interpersonal adaptation: dyadic interaction patterns (1996)Interpersonal adaptation: dya…Deep emotion recognition in textual conversations: a survey (2024)Deep emotion recognition in t…Robust Audiovisual Emotion Recognition: Aligning Modalities, Capturing Temporal Information, and Handling Missing Features (2022)Robust Audiovisual Emotion Re…Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset (2021)Context-Aware Personality Inf…Chunk-Level Speech Emotion Recognition: A General Framework of Sequence-to-One Dynamic Temporal Modeling (2021)Chunk-Level Speech Emotion Re…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…Analysis and Predictive Modeling of Body Language Behavior in Dyadic Interactions from Multimodal Interlocutor Cues (2014)Analysis and Predictive Model…Analysis and Compensation of the Reaction Lag of Evaluators in Continuous Emotional Annotations (2013)Analysis and Compensation of …A multitask approach to continuous five-dimensional affect sensing in natural speech (2012)A multitask approach to conti…Describing the emotional states that are expressed in speech (2003)Vocal communication of emotion: A review of research paradigms (2003)The SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent (2011)Emotion Recognition Using Fusion of Audio and Video Features (2019)A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN (2021)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)A Multimodal Facial Emotion Recognition Framework through the Fusion of Speech with Visible and Infrared Images (2020)Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects (2024)Multimodal emotion recognition: A comprehensive review, trends, and challenges (2024)The communication of emotional meaning (1964)Praat, a system for doing phonetics by computer (2002)Toward detecting emotions in spoken dialogs (2005)Using system and user performance features to improve emotion detection in spoken tutoring dialogs (2006)Influence of contextual information in emotion annotation for spoken dialogue systems (2008)Detecting emotional state of a child in a conversational computer game (2010)Affective Computing (1997)Decision level combination of multiple modalities for recognition and analysis of emotional expression (2010)Communication Without Words (2017)“I Didn’t Know I Looked Angry”: Characterizing Observed Emotion and Reported Affect at Work (2022)SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition (2022)Emotion recognition in human-computer interaction (2001)Emotion Recognition From EEG Using Higher Order Crossings (2009)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)Acoustic profiles in vocal emotion expression. (1996)What are emotions? And how can they be measured? (2005)Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion Detection (2009)A Framework for Automatic Human Emotion Classification Using Emotion Profiles (2010)On the Acoustics of Emotion in Audio: What Speech, Music, and Sound have in Common (2013)Speech emotion recognition using deep neural network and extreme learning machine (2014)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset (2014)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Children Teach a Care-Receiving Robot to Promote Their Learning: Field Experiments in a Classroom for Vocabulary Learning (2012)Interpersonal body and neural synchronization as a marker of implicit social interaction (2012)Nonverbal synchrony and affect in dyadic interactions (2014)
this work references cited by second hop

References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2004Analysis of emotion recognition using facial expressions, speech and multimodal information842 cited
  • 1996Interpersonal adaptation: dyadic interaction patterns391 cited
  • 2007Primitives-based evaluation and estimation of emotions in speech291 cited
  • 2008Audio-Visual Emotion Recognition Using Gaussian Mixture Models for Face and Voice97 cited
  • 2005Using Context to Improve Emotion Detection in Spoken Dialog Systems94 cited

Cited by

  • 2015The USC CreativeIT database of multimodal dyadic interactions: from speech and full body motion capture to continuous emotional annotations62 cited
  • 2013Analysis and Compensation of the Reaction Lag of Evaluators in Continuous Emotional Annotations58 cited
  • 2021Chunk-Level Speech Emotion Recognition: A General Framework of Sequence-to-One Dynamic Temporal Modeling54 cited
  • 2022Robust Audiovisual Emotion Recognition: Aligning Modalities, Capturing Temporal Information, and Handling Missing Features53 cited
  • 2012A multitask approach to continuous five-dimensional affect sensing in natural speech53 cited
  • 2021Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset52 cited
  • 2024Deep emotion recognition in textual conversations: a survey49 cited

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2014
Analysis and Predictive Modeling of Body Language Behavior in Dyadic Interactions from Multimodal Interlocutor Cues
26 cited