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Improving multilingual speech emotion recognition by combining acoustic features in a three-layer model
16 references·1 citing·37 second hop
Improving multilingual speech emotion recognition by combining acoustic features in a three-layer model (2019)Improving multilingual speech emotion rec…LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework (2012)LSTM-Modeling of continuous e…Automatic Speech Emotion Recognition using Support Vector Machine (2011)Automatic Speech Emotion Reco…Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Cross-Corpus Acoustic Emotion…Beyond arousal: Valence and potency/control cues in the vocal expression of emotion (2010)Beyond arousal: Valence and p…Automatic speech emotion recognition using modulation spectral features (2010)Automatic speech emotion reco…Primitives-based evaluation and estimation of emotions in speech (2007)Primitives-based evaluation a…Distinguishing deceptive from non-deceptive speech (2005)Distinguishing deceptive from…A database of German emotional speech (2005)A database of German emotiona…Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture (2004)Speech emotion recognition co…The production and recognition of emotions in speech: features and algorithms (2003)The production and recognitio…Speech emotion recognition using hidden Markov models (2003)Speech emotion recognition us…Describing the emotional states that are expressed in speech (2003)Describing the emotional stat…Recognizing emotion in speech (2002)Recognizing emotion in speechEmotion recognition in human-computer interaction (2001)Emotion recognition in human-…Affective Computing (1997)Affective ComputingPersonality inference from voice quality: The loud voice of extroversion (1978)Personality inference from vo…IoT-Enabled WBAN and Machine Learning for Speech Emotion Recognition in Patients (2023)IoT-Enabled WBAN and Machine …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)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)The role of emotion in believable agents (1994)Prosody-based automatic detection of annoyance and frustration in human-computer dialog (2002)Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching (2017)Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos (2018)Philosophical Investigations. (1954)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Vocal Expression Of Emotion (2002)Emotional speech: Towards a new generation of databases (2003)Speech melody as articulatorily implemented communicative functions (2005)Designing Sociable Robots (2002)DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses (2015)Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network (2017)The expression of the emotions in man and animals. (1872)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Emotion And Adaptation (1991)Vocal affect expression: A review and a model for future research. (1986)Emotional speech recognition: Resources, features, and methods (2006)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition (2013)Emotion Recognition in Speech using Cross-Modal Transfer in the Wild (2018)Hidden Markov model-based speech emotion recognition (2003)Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Speech Emotion Recognition Using Fourier Parameters (2015)Paralinguistics in speech and language—State-of-the-art and the challenge (2012)Databases, features and classifiers for speech emotion recognition: a review (2018)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)Machines and Mindlessness: Social Responses to Computers (2000)IEMOCAP: interactive emotional dyadic motion capture database (2008)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)
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  • 2005A database of German emotional speech2,365 cited
  • 2003Speech emotion recognition using hidden Markov models920 cited
  • 2003Describing the emotional states that are expressed in speech604 cited
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  • 2004Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture438 cited
  • 2010Automatic speech emotion recognition using modulation spectral features389 cited
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  • 1978Personality inference from voice quality: The loud voice of extroversion319 cited
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  • 2010Beyond arousal: Valence and potency/control cues in the vocal expression of emotion203 cited
  • 2011Automatic Speech Emotion Recognition using Support Vector Machine

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188 cited
  • 2005Distinguishing deceptive from non-deceptive speech158 cited
  • Cited by

    • 2023IoT-Enabled WBAN and Machine Learning for Speech Emotion Recognition in Patients46 cited