Support Vector Regression for Automatic Recognition of Spontaneous Emotions in Speech.
Michael GrimmKristian KroschelShrikanth S. NarayananPublished in: ICASSP (4) (2007)
Keyphrases
- automatic recognition
- support vector regression
- emotion recognition
- conversational speech
- emotional state
- speech recognition
- regression model
- emotion classification
- support vector
- audio visual
- human communication
- support vector machine svm
- hybrid model
- support vector machine
- support vector classification
- extreme learning machine
- automatic speech recognition
- kernel function
- broadcast news
- speech signal
- kernel learning
- wavelet frame
- forecasting model
- back propagation neural network
- spontaneous speech
- hybrid genetic
- response surface methodology
- neural network
- singular spectrum analysis
- lexical features
- forecasting accuracy
- wavelet neural network
- feature extraction
- decision trees
- nonlinear regression
- pattern recognition
- electronic equipment
- face recognition