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Using i-vector space model for emotion recognition
6 references·3 citing·34 second hop
Using i-vector space model for emotion recognition (2012)Using i-vector space model for emotion re…The INTERSPEECH 2011 speaker state challenge (2011)The INTERSPEECH 2011 speaker …Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…Using neutral speech models for emotional speech analysis (2007)Using neutral speech models f…Emotion recognition in spontaneous speech using GMMs (2006)Emotion recognition in sponta…Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Analysis of emotion recogniti…Hidden Markov model-based speech emotion recognition (2003)Hidden Markov model-based spe…Effective Attention Mechanism in Dynamic Models for Speech Emotion Recognition (2018)Effective Attention Mechanism…Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech (2014)Variability compensation in s…Compensating for speaker or lexical variabilities in speech for emotion recognition (2013)Compensating for speaker or l…Recognizing emotion in speech (2002)Vocal communication of emotion: A review of research paradigms (2003)Toward detecting emotions in spoken dialogs (2005)Class-level spectral features for emotion recognition (2010)A survey of emotion recognition methods with emphasis on E-Learning environments (2019)Learning Alignment for Multimodal Emotion Recognition from Speech (2019)IEMOCAP: interactive emotional dyadic motion capture database (2008)Rational choice in an uncertain world the psychology of judgment and decision making (2010)Ensemble softmax regression model for speech emotion recognition (2016)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)The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Emotion recognition in human-computer interaction (2001)Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology (2006)AVEC 2013 (2013)Re-examining the robustness of voice features in predicting depression: Compared with baseline of confounders (2019)OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit (2009)The INTERSPEECH 2009 emotion challenge (2009)Survey on audiovisual emotion recognition: databases, features, and data fusion strategies (2014)Semisupervised Autoencoders for Speech Emotion Recognition (2017)Multimodal Fusion of BERT-CNN and Gated CNN Representations for Depression Detection (2019)A database of German emotional speech (2005)Toward an affect-sensitive multimodal human-computer interaction (2003)Acoustic feature analysis in speech emotion primitives estimation (2010)Speech emotion recognition in emotional feedback for Human-Robot Interaction (2015)Emotion Recognition by Fusing Time Synchronous and Time Asynchronous Representations (2021)Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture (2004)EmotionSense (2010)Objective measures, sensors and computational techniques for stress recognition and classification: A survey (2012)Emotion Recognition From EEG Using Higher Order Crossings (2009)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)
this work references cited by second hop

References

  • 2004Analysis of emotion recognition using facial expressions, speech and multimodal information842 cited
  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2003Hidden Markov model-based speech emotion recognition594 cited
  • 2006Emotion recognition in spontaneous speech using GMMs249 cited
  • 2011The INTERSPEECH 2011 speaker state challenge223 cited
  • 2007Using neutral speech models for emotional speech analysis83 cited

Cited by

  • 2014Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech53 cited
  • 2018Effective Attention Mechanism in Dynamic Models for Speech Emotion Recognition53 cited
  • 2013Compensating for speaker or lexical variabilities in speech for emotion recognition52 cited

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