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Improving Automatic Emotion Recognition from Speech via Gender Differentiaion
5 references·16 citing·44 second hop
Improving Automatic Emotion Recognition from Speech via Gender Differentiaion (2006)Improving Automatic Emotion Recognition f…Toward detecting emotions in spoken dialogs (2005)Toward detecting emotions in …Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition (2005)Comparing Feature Sets for Ac…A database of German emotional speech (2005)A database of German emotiona…The production and recognition of emotions in speech: features and algorithms (2003)The production and recognitio…How to find trouble in communication (2003)How to find trouble in commun…Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition (2020)Multi-Task Semi-Supervised Ad…Multi-Head Attention for Speech Emotion Recognition with Auxiliary Learning of Gender Recognition (2020)Multi-Head Attention for Spee…Egyptian Arabic speech emotion recognition using prosodic, spectral and wavelet features (2020)Egyptian Arabic speech emotio…Curriculum Learning for Speech Emotion Recognition From Crowdsourced Labels (2019)Curriculum Learning for Speec…An Audio-Visual Emotion Recognition System Using Deep Learning Fusion for a Cognitive Wireless Framework (2019)An Audio-Visual Emotion Recog…Acoustic differences between healthy and depressed people: a cross-situation study (2019)Acoustic differences between …Speech emotion recognition research: an analysis of research focus (2018)Speech emotion recognition re…Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data (2018)Convolutional Attention Netwo…Progressive Neural Networks for Transfer Learning in Emotion Recognition (2017)Progressive Neural Networks f…Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences (2017)Cross-Corpus Acoustic Emotion…Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach (2016)Cross-corpus acoustic emotion…Affective Computing and the Impact of Gender and Age (2016)Affective Computing and the I…From Joyous to Clinically Depressed: Mood Detection Using Spontaneous Speech (2012)From Joyous to Clinically Dep…Interdependencies among Voice Source Parameters in Emotional Speech (2011)Interdependencies among Voice…Speech Emotion Analysis: Exploring the Role of Context (2010)Speech Emotion Analysis: Expl…Automatic Recognition of Emotions from Speech: A Review of the Literature and Recommendations for Practical Realisation (2008)Automatic Recognition of Emot…Acoustic profiles in vocal emotion expression. 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this work references cited by second hop

References

  • 2005A database of German emotional speech2,365 cited
  • 2005Toward detecting emotions in spoken dialogs969 cited
  • 2003The production and recognition of emotions in speech: features and algorithms439 cited
  • 2003How to find trouble in communication281 cited
  • 2005Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition223 cited

Cited by

  • 2020Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition131 cited
  • 2017Progressive Neural Networks for Transfer Learning in Emotion Recognition129 cited
  • 2008Automatic Recognition of Emotions from Speech: A Review of the Literature and Recommendations for Practical Realisation127 cited
  • 2010Speech Emotion Analysis: Exploring the Role of Context110 cited
  • 2019Acoustic differences between healthy and depressed people: a cross-situation study98 cited
  • 2020Egyptian Arabic speech emotion recognition using prosodic, spectral and wavelet features98 cited
  • 2019Curriculum Learning for Speech Emotion Recognition From Crowdsourced Labels97 cited
  • 2020Multi-Head Attention for Speech Emotion Recognition with Auxiliary Learning of Gender Recognition95 cited
  • 2019An Audio-Visual Emotion Recognition System Using Deep Learning Fusion for a Cognitive Wireless Framework

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93 cited
  • 2011Interdependencies among Voice Source Parameters in Emotional Speech90 cited
  • 2018Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data87 cited
  • 2012From Joyous to Clinically Depressed: Mood Detection Using Spontaneous Speech85 cited
  • 2017Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences83 cited
  • 2016Affective Computing and the Impact of Gender and Age70 cited
  • 2016Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach69 cited
  • 2018Speech emotion recognition research: an analysis of research focus68 cited