Speech emotion recognition using convolutional long short-term memory neural network and support vector machines.
Nattapong KurpukdeeTomoki KoriyamaTakao KobayashiSawit KasuriyaChai WutiwiwatchaiPoonlap LamsrichanPublished in: APSIPA (2017)
Keyphrases
- recurrent neural networks
- long short term memory
- neural network
- support vector
- learning machines
- emotion recognition
- large margin classifiers
- emotional state
- text to speech synthesis
- network architecture
- feed forward
- speech recognition
- training algorithm
- back propagation
- hidden layer
- artificial neural networks
- emotional speech
- kernel function
- pattern recognition
- radial basis function
- cross validation
- neural network model
- facial expressions
- multi class
- speech signal
- svm classifier
- logistic regression
- speech synthesis
- text to speech
- audio visual
- genetic algorithm
- feature selection
- support vector machine
- kernel methods
- fault diagnosis
- classification accuracy
- emotion classification
- neural network is trained
- loss function
- generalization ability
- speaker identification
- self organizing maps
- multilayer perceptron
- automatic speech recognition
- prediction model
- neural nets
- soft margin
- image classification