Hilbert-Huang-Hurst-based non-linear acoustic feature vector for emotion classification with stochastic models and learning systems.
Vinícius VieiraRosângela CoelhoFrancisco Marcos de AssisPublished in: IET Signal Process. (2020)
Keyphrases
- learning systems
- stochastic models
- feature vectors
- emotion classification
- mel frequency cepstral coefficients
- stochastic model
- speaker independent
- stochastic processes
- emotion recognition
- speech recognition
- lexical features
- sentence level
- machine learning
- syntactic analysis
- learning process
- learning environment
- learning styles
- feature extraction
- similarity measure
- feature space
- gaussian mixture model
- feature set
- speech recognition systems
- marginal distributions
- hidden markov models
- speaker identification
- acoustic features
- wavelet coefficients
- learning algorithm
- video sequences
- speech signal
- sentiment analysis
- e learning
- semi supervised
- data sets