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Recognizing emotion from singing and speaking using shared models
9 references·1 citing·49 second hop
Recognizing emotion from singing and speaking using shared models (2015)Recognizing emotion from singing and spea…The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)The INTERSPEECH 2013 computat…On the Acoustics of Emotion in Audio: What Speech, Music, and Sound have in Common (2013)On the Acoustics of Emotion i…Comparing the acoustic expression of emotion in the speaking and the singing voice (2013)Comparing the acoustic expres…The computer expression recognition toolbox (CERT) (2011)The computer expression recog…Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…Visual emotion recognition using compact facial representations and viseme information (2010)Visual emotion recognition us…A Framework for Automatic Human Emotion Classification Using Emotion Profiles (2010)A Framework for Automatic Hum…Emotion Recognition Based on Joint Visual and Audio Cues (2006)Emotion Recognition Based on …Plato and Aristotle on Music and Music Education: Lessons From Ancient Greece (2002)Plato and Aristotle on Music …Speech Emotion Recognition Using Local and Global Features (2017)Speech Emotion Recognition Us…Facial Action Coding System (1978)Comprehensive database for facial expression analysis (2002)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Categorical and dimensional affect analysis in continuous input: Current trends and future directions (2012)AVEC 2016 (2016)Facial emotion recognition using convolutional neural networks (FERC) (2020)A power primer. (1992)Acoustic profiles in vocal emotion expression. (1996)Praat : doing phonetics by computer [Computer program] (2011)Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach (2016)Exploring a systemic functional semiotics approach to understanding emotional expression in singing performance: Implications for music education (2021)Speech Emotion Recognition Using Clustering Based GA-Optimized Feature Set (2021)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)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Audio-Visual Affect Recognition through Multi-Stream Fused HMM for HCI (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)ISLA: Temporal Segmentation and Labeling for Audio-Visual Emotion Recognition (2017)A database of German emotional speech (2005)The World of Emotions is not Two-Dimensional (2007)Development and Distortion of Malaysian Public- Private Partnerships: Patronage, Privatised Profits and Pitfalls DOI: 10.1111/j.1467- 8500.2009.00655.x (2010)Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data (2014)The PMEmo Dataset for Music Emotion Recognition (2018)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)A Philosophy of Music Education (1971)Music Matters: A New Philosophy of Music Education (1996)Philosophy of Music Education (2013)Common cues to emotion in the dynamic facial expressions of speech and song (2014)The origins of music (2018)Music, Leisure, Education (2022)Facial expression recognition from video sequences: temporal and static modeling (2003)Toward an affect-sensitive multimodal human-computer interaction (2003)Automatic Temporal Segment Detection and Affect Recognition From Face and Body Display (2008)Survey on audiovisual emotion recognition: databases, features, and data fusion strategies (2014)Communication Without Words (2017)Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals (2019)Using uh and um in spontaneous speaking (2002)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)Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. (1999)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Multi-Task Learning Framework for Emotion Recognition Using 2D Continuous Space (2015)User profiling and behavioral adaptation for HRI: A survey (2017)Learning Alignment for Multimodal Emotion Recognition from Speech (2019)Speech emotion recognition using hidden Markov models (2003)Speech emotion recognition using deep neural network and extreme learning machine (2014)
this work references cited by second hop

References

  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2013The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism733 cited
  • 2011The computer expression recognition toolbox (CERT)552 cited
  • 2013On the Acoustics of Emotion in Audio: What Speech, Music, and Sound have in Common279 cited
  • 2010A Framework for Automatic Human Emotion Classification Using Emotion Profiles215 cited
  • 2006Emotion Recognition Based on Joint Visual and Audio Cues202 cited
  • 2013Comparing the acoustic expression of emotion in the speaking and the singing voice73 cited
  • 2002Plato and Aristotle on Music and Music Education: Lessons From Ancient Greece54 cited
  • 2010Visual emotion recognition using compact facial representations and viseme information52 cited

Cited by

  • 2017Speech Emotion Recognition Using Local and Global Features41 cited

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