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Feature Pooling of Modulation Spectrum Features for Improved Speech Emotion Recognition in the Wild
16 references·1 citing·45 second hop
Feature Pooling of Modulation Spectrum Features for Improved Speech Emotion Recognition in the Wild (2018)Feature Pooling of Modulation Spectrum Fe…AVEC 2017 (2017)AVEC 2017AVEC 2016 (2016)AVEC 2016Video and Image based Emotion Recognition Challenges in the Wild (2015)Video and Image based Emotion…EmoNets: Multimodal deep learning approaches for emotion recognition in video (2015)EmoNets: Multimodal deep lear…The ethics of artificial intelligence (2014)The ethics of artificial inte…Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions (2013)Introducing the RECOLA multim…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…Automatic, Dimensional and Continuous Emotion Recognition (2010)Automatic, Dimensional and Co…Automatic speech emotion recognition using modulation spectral features (2010)Automatic speech emotion reco…The INTERSPEECH 2009 emotion challenge (2009)The INTERSPEECH 2009 emotion …Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion Detection (2009)Analysis of Emotionally Salie…Stress and Emotion Classification using Jitter and Shimmer Features (2007)Stress and Emotion Classifica…Emotional speech recognition: Resources, features, and methods (2006)Emotional speech recognition:…Affective computing: challenges (2003)Affective computing: challeng…A Note On "A Concordance Correlation Coefficient to Evaluate Reproducibility" (1997)A Note On "A Concordance Corr…A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)A Concordance Correlation Coe…MIA-Net: Multi-Modal Interactive Attention Network for Multi-Modal Affective Analysis (2023)MIA-Net: Multi-Modal Interact…Emotion recognition in human-computer interaction (2001)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)AVEC 2013 (2013)Review on Psychological Stress Detection Using Biosignals (2019)Positive affect and decision making. 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References

  • 1989A Concordance Correlation Coefficient to Evaluate Reproducibility8,782 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2003Affective computing: challenges978 cited
  • 2009The INTERSPEECH 2009 emotion challenge929 cited
  • 2006Emotional speech recognition: Resources, features, and methods927 cited
  • 2014The ethics of artificial intelligence916 cited
  • 2013Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions776 cited
  • 1997A Note On "A Concordance Correlation Coefficient to Evaluate Reproducibility"511 cited
  • 2016AVEC 2016505 cited
  • 2010Automatic, Dimensional and Continuous Emotion Recognition426 cited
  • 2015EmoNets: Multimodal deep learning approaches for emotion recognition in video413 cited
  • 2010Automatic speech emotion recognition using modulation spectral features389 cited
  • 2017AVEC 2017332 cited
  • 2015Video and Image based Emotion Recognition Challenges in the Wild305 cited
  • 2009Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion Detection278 cited

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2007
Stress and Emotion Classification using Jitter and Shimmer Features
149 cited

Cited by

  • 2023MIA-Net: Multi-Modal Interactive Attention Network for Multi-Modal Affective Analysis47 cited