Improving the accuracy of the GMM model in the form of the GMM-VSM system in the application of speech language recognition
Subject Areas : GeneralFahimeh GHasemian 1 , Mohamad mahdi Homaion por 2
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Abstract :
The GMM model is one of the most widely used and successful models in the field of automatic language recognition. In this article, a new model called Adapted Weight-GMM (AW-GMM) is presented. This model is similar to GMM, with the difference that the weight of its components in the form of GMM-VSM system is determined based on the strength of the components in differentiating one language from other languages. Also, due to the computational complexity in the GMM-VSM system in the case where a 2-component sequence is considered, a technique for constructing a 2-component sequence has been presented, which can be used to construct higher-order sequences as well. used The evaluations carried out on 4 languages English, Persian, French and German from OGI data show the effectiveness of the presented techniques.
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