Text-Independent Speaker Recognition Using Gaussian Mixture Models Final Term Paper Proposal
نویسنده
چکیده
The proposed project is an implementation of speaker recognition systems, both identification and verification. The systems are built using Gaussian Mixture Models, as proposed in several papers from Douglas A. Reynolds. The use of Fractional Covariance Matrix is studied as an possible increase for the traditional recognition systems. keywords: speaker recognition; Gaussian Mixture Models; likelihood ratio test; Universal Background Model; Fractional Covariance Matrix.
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