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Vowels formants analysis allows straightforward detection of high arousal acted and spontaneous emotions
8 references·0 citing·35 second hop
Vowels formants analysis allows straightforward detection of high arousal acted and spontaneous emotions (2011)Vowels formants analysis allows straightf…Vowels formants analysis allows straightforward detection of high arousal emotions (2011)Vowels formants analysis allo…Praat: Doing Phonetics by Computer (2011)Praat: Doing Phonetics by Com…Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach (2010)Segmenting into Adequate Unit…Emotion dimensions and formant position (2009)Emotion dimensions and forman…Acoustic emotion recognition: A benchmark comparison of performances (2009)Acoustic emotion recognition:…The Vera am Mittag German audio-visual emotional speech database (2008)The Vera am Mittag German aud…Emotion recognition in human–computer interaction (2005)Emotion recognition in human–…A database of German emotional speech (2005)A database of German emotiona…The phonetic description of voice quality (1980)Acoustic profiles in vocal emotion expression. (1996)A new emotion database: considerations, sources and scope (2000)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)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)Facial Action Coding System (1978)The nature of emotion: Fundamental questions. (1994)Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. (1999)Primitives-based evaluation and estimation of emotions in speech (2007)The Role of Nonlinear Dynamics in Affective Valence and Arousal Recognition (2011)The Cognitive Structure of Emotions (1988)Emotion recognition in human-computer interaction (2001)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)Emotional speech: Towards a new generation of databases (2003)Emotional speech recognition: Resources, features, and methods (2006)Automatic, Dimensional and Continuous Emotion Recognition (2010)DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2017)The eNTERFACE’05 Audio-Visual Emotion Database (2006)The INTERSPEECH 2009 emotion challenge (2009)Speech emotion recognition approaches in human computer interaction (2011)Towards an intelligent framework for multimodal affective data analysis (2014)Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech (2017)Control Methods Used in a Study of the Vowels (1952)Praat : doing phonetics by computer [Computer program] (2011)A circumplex model of affect. (1980)Formant position based weighted spectral features for emotion recognition (2011)Towards a social functional account of laughter: Acoustic features convey reward, affiliation, and dominance (2017)The Sound of Emotional Prosody: Nearly 3 Decades of Research and Future Directions (2024)Impoliteness and Entertainment in the Television Quiz Show: The Weakest Link (2005)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Pronunciation Fundamentals (2015)
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References

  • 2011Praat: Doing Phonetics by Computer8,004 cited
  • 2005A database of German emotional speech2,370 cited
  • 2008The Vera am Mittag German audio-visual emotional speech database420 cited
  • 2005Emotion recognition in human–computer interaction412 cited
  • 2009Acoustic emotion recognition: A benchmark comparison of performances275 cited
  • 2010Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach72 cited
  • 2009Emotion dimensions and formant position66 cited
  • 2011Vowels formants analysis allows straightforward detection of high arousal emotions34 cited

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