Effect of reference set selection on speaker dependent speech recognition
نویسندگان
چکیده
منابع مشابه
Speaker dependent emotion recognition using speech signals
This paper examines three algorithms to recognize speaker’s emotion using the speech signals. Target emotions are happiness, sadness, anger, fear, boredom and neutral state. MLB(Maximum-Likelihood Bayes), NN(Nearest Neighbor) and HMM(Hidden Markov Model) algorithms are used as the pattern matching techniques. In all cases, pitch and energy are used as the features. The feature vectors for MLB a...
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Improving of Feature Selection in Speech Emotion Recognition Based-on Hybrid Evolutionary Algorithms
One of the important issues in speech emotion recognizing is selecting of appropriate feature sets in order to improve the detection rate and classification accuracy. In last studies researchers tried to select the appropriate features for classification by using the selecting and reducing the space of features methods, such as the Fisher and PCA. In this research, a hybrid evolutionary algorit...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1981
ISSN: 0001-4966
DOI: 10.1121/1.386265