Speech emotion recognitionBjörn Wolfgang Schuller2018-04-24articleCommunications of the ACM547 citationsgreenNo readable copy stored yet — this record is metadata only.Emotion and Mood RecognitionSpeech Recognition and SynthesisSpeech and Audio ProcessingAbstractTracing 20 years of progress in making machines hear our emotions based on speech signal properties.Citations in this libraryStored only when both papers are in the corpus — 547 citations exist upstream.References1988Development and validation of brief measures of positive and negative affect: The PANAS scales.1988Development and validation of brief measures of positive and negative affect: The PANAS scales.1997Affective Computing2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2010Survey on speech emotion recognition: Features, classification schemes, and databases2006Emotional speech recognition: Resources, features, and methods2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network2020The Expression of Emotion in Man and AnimalsCited by2023Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap2021A Comprehensive Review of Speech Emotion Recognition Systems2020Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing2017Speech emotion recognition based on feature selection and extreme learning machine decision tree2022Investigating EEG-based functional connectivity patterns for multimodal emotion recognition2021A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism2020Feature extraction algorithms to improve the speech emotion recognition rate2022Emotion Recognition for Everyday Life Using Physiological Signals From Wearables: A Systematic Literature Review