| Autor: |
Ing Ren Tsang, Dimas Gabriel, George D. C. Cavalcanti, Hector N. B. Pinheiro |
| Rok vydání: |
2012 |
| Předmět: |
|
| Zdroj: |
SMC |
| Popis: |
This paper proposes the use of a Type-2 Fuzzy GMM (T2FGMM) speaker verification system for mobile devices in variable environments. This model is an extension of Gaussian mixture models based on the type-2 fuzzy set, which provide pertinence intervals for the trained samples. The decision process is obtained using the Generalized Linear Model (GLM) that processes the interval likelihoods. A Voice Activity Detection (VAD) algorithm was also used to improve the speaker verification ratio. The proposed method was tested on the MIT mobile device speaker verification database which contains several different mobile devices used in different environments. The result shows the robustness of the system and the improvements in the verification ratios of the T2GMM over the classical GMM. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
