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The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech.
Friedhelm Schwenker
Stefan Scherer
Yasmine M. Magdi
Günther Palm
Published in:
ICANN (1) (2009)
Keyphrases
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gaussian mixture model
speaker recognition
speaker identification
mel frequency cepstral coefficients
feature vectors
recognition engine
digit recognition
support vector machine svm
recognition rate
support vector machine
feature space
speaker independent
emotional state
object recognition
support vector
mixture model
feature extraction
noisy environments
pattern recognition
emotion recognition
recognition accuracy
automatic speech recognition systems
em algorithm
voice activity detection
speech corpus
knn
gaussian mixture
speech signal
spoken words
speech recognition
continuous speech recognition
kernel function
human activities
background subtraction
automatic transcription
spoken language
feature selection
training data
model selection
expectation maximization
maximum likelihood
speech recognition systems
training set
text recognition
moving objects
speaker verification
svm classifier
classification algorithm
multi class
text classification