Performance of svm, k-nn and nbc classifiers for text-independent speaker identification with and without modelling through merging models
This paper proposes some methods of robust text-independent speaker identification based on Gaussian Mixture Model (GMM). We implemented a combination of GMM model with a set of classifiers such as Support Vector Machine (SVM), K-Nearest Neighbour (K-NN), and Naive Bayes Classifier (NBC). In order...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Sakarya University
2016-04-01
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| coleção: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| Assuntos: | |
| Acesso em linha: | http://www.saujs.sakarya.edu.tr/article/view/5000114080 |
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