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Emotion Classification Using Segmentation of Vowel-Like and Non-Vowel-Like Regions
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Nonlinguistic Vocal Indicators of Emotion and Psychopathology
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Detection of Phoneme Boundaries Using Spiking Neurons
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IEMOCAP: interactive emotional dyadic motion capture database
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Challenges in speech-based human–computer interfaces
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Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema
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Speech emotion recognition: Features and classification models
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Survey on speech emotion recognition: Features, classification schemes, and databases
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Emotion recognition from speech signals using new harmony features
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Class-level spectral features for emotion recognition
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Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
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Emotion recognition using a hierarchical binary decision tree approach
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Classification of emotional speech using 3DEC hierarchical classifier
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Nonlinear feature based classification of speech under stress
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Contribution of Telugu vowels in identifying emotions
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Time-Frequency Feature and AMS-GMM Mask for Acoustic Emotion Classification
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Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
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Anchor Models for Emotion Recognition from Speech
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Speech Emotion Recognition Using Fourier Parameters
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The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
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inferredcites →https://doi.org/10.1109/tasl.2007.901823openalex-snapshot
Compensation of Nuisance Factors for Speaker and Language Recognition
inferredcites →https://doi.org/10.1109/tasl.2008.2004526openalex-snapshot
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inferredcites →https://doi.org/10.1109/tasl.2011.2155061openalex-snapshot
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inferredcites →https://doi.org/10.1109/tasl.2013.2238529openalex-snapshot
Speaker Verification by Vowel and Nonvowel Like Segmentation
inferredcites →https://doi.org/10.1109/tasl.2013.2255278openalex-snapshot
On Acoustic Emotion Recognition: Compensating for Covariate Shift
inferredcites →https://doi.org/10.1109/taslp.2015.2487051openalex-snapshot
Towards a Small Set of Robust Acoustic Features for Emotion Recognition: Challenges
inferredcites →https://doi.org/10.1109/tassp.1980.1163420openalex-snapshot
Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
inferredcites →https://doi.org/10.1109/tsmcb.2011.2168604openalex-snapshot
Extreme Learning Machine for Regression and Multiclass Classification
inferredcites →https://doi.org/10.1121/1.380738openalex-snapshot
Automatic segmentation of speech into syllabic units
inferredcites →https://doi.org/10.1155/2009/594103openalex-snapshot
An Adaptive Framework for Acoustic Monitoring of Potential Hazards
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A Guide to Speech Production and Perception
inferredcites →https://doi.org/10.21437/interspeech.2004-322openalex-snapshot
Emotion recognition based on phoneme classes
inferredcites →https://doi.org/10.21437/interspeech.2005-208openalex-snapshot
Detection of vowel onset point events using excitation information
inferredcites →https://doi.org/10.21437/interspeech.2005-446openalex-snapshot
A database of German emotional speech
inferredcites →https://doi.org/10.21437/interspeech.2008-197openalex-snapshot
Phonetic and speaker variations in automatic emotion classification
inferredcites →https://doi.org/10.21437/interspeech.2009-103openalex-snapshot
The INTERSPEECH 2009 emotion challenge
inferredcites →https://doi.org/10.21437/interspeech.2009-112openalex-snapshot
Brno University of Technology system for Interspeech 2009 emotion challenge
inferredcites →https://doi.org/10.21437/interspeech.2011-474openalex-snapshot
Vowels formants analysis allows straightforward detection of high arousal acted and spontaneous emotions
inferredcites →https://doi.org/10.21437/interspeech.2013-56openalex-snapshot
The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism
inferredcites →https://doi.org/10.21437/interspeech.2013-71openalex-snapshot
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Phoneme Boundary Detection using Deep Bidirectional LSTMs
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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