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Combining frame and turn-level information for robust recognition of emotions within speech
5 references·7 citing·39 second hop
Combining frame and turn-level information for robust recognition of emotions within speech (2007)Combining frame and turn-level informatio…Towards More Reality in the Recognition of Emotional Speech (2007)Towards More Reality in the R…Timing levels in segment-based speech emotion recognition (2006)Timing levels in segment-base…A database of German emotional speech (2005)A database of German emotiona…Hidden Markov model-based speech emotion recognition (2003)Hidden Markov model-based spe…Getting started with SUSAS: a speech under simulated and actual stress database (1997)Getting started with SUSAS: a…Speaker Normalization for Self-Supervised Speech Emotion Recognition (2022)Speaker Normalization for Sel…Improving multilingual speech emotion recognition by combining acoustic features in a three-layer model (2019)Improving multilingual speech…Automatic stress detection in emergency (telephone) calls (2011)Automatic stress detection in…Application of speaker- and language identification state-of-the-art techniques for emotion recognition (2011)Application of speaker- and l…The Automatic Recognition of Emotions in Speech (2010)The Automatic Recognition of …Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach (2010)Segmenting into Adequate Unit…Automatic recognition of speech emotion using long-term spectro-temporal features (2009)Automatic recognition of spee…Emotion recognition in human-computer interaction (2001)Toward an affect-sensitive multimodal human-computer interaction (2003)Audiovisual Behavior Modeling by Combined Feature Spaces (2007)Analysis of Emotional Speech—A Review (2016)Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer (2023)Acoustic profiles in vocal emotion expression. (1996)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Toward detecting emotions in spoken dialogs (2005)The SEMAINE API: Towards a Standards-Based Framework for Building Emotion-Oriented Systems (2010)Vocal-based emotion recognition using random forests and decision tree (2017)A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise (2023)The Cognitive Structure of Emotions (1988)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Shape-based modeling of the fundamental frequency contour for emotion detection in speech (2013)Fusing Affective Dimensions and Audio-Visual Features from Segmented Video for Depression Recognition (2014)Annotating and modeling empathy in spoken conversations (2017)Vocal communication of emotion: A review of research paradigms (2003)Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models (2016)Speech emotion recognition research: an analysis of research focus (2018)The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals (2007)The INTERSPEECH 2009 emotion challenge (2009)Speech Emotion Recognition under White Noise (2013)Affective Computing (1997)Optimal feature selection for speech emotion recognition using enhanced cat swarm optimization algorithm (2020)Two-stage dimensional emotion recognition by fusing predictions of acoustic and text networks using SVM (2020)IoT-Enabled WBAN and Machine Learning for Speech Emotion Recognition in Patients (2023)IEMOCAP: interactive emotional dyadic motion capture database (2008)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)Speech Emotion Recognition via an Attentive Time–Frequency Neural Network (2022)Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement (2023)Survey on multimodal approaches to emotion recognition (2023)Acoustic emotion recognition: A benchmark comparison of performances (2009)Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Paralinguistics in speech and language—State-of-the-art and the challenge (2012)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)
this work references cited by second hop

References

  • 2005A database of German emotional speech2,365 cited
  • 2003Hidden Markov model-based speech emotion recognition594 cited
  • 1997Getting started with SUSAS: a speech under simulated and actual stress database305 cited
  • 2007Towards More Reality in the Recognition of Emotional Speech124 cited
  • 2006Timing levels in segment-based speech emotion recognition84 cited

Cited by

  • 2010The Automatic Recognition of Emotions in Speech75 cited
  • 2010Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach72 cited
  • 2022Speaker Normalization for Self-Supervised Speech Emotion Recognition68 cited
  • 2019Improving multilingual speech emotion recognition by combining acoustic features in a three-layer model56 cited
  • 2011Application of speaker- and language identification state-of-the-art techniques for emotion recognition53 cited
  • 2011Automatic stress detection in emergency (telephone) calls48 cited
  • 2009Automatic recognition of speech emotion using long-term spectro-temporal features48 cited

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