This study introduces a novel method for speaker verification task. We propose a reduced feature vector employing new information detected from the speaker's ...
Abstract— The Gaussian mixture models (GMM) represent an efficient model that was broadly used in most of speaker recognition applications.
This study introduces a novel method for speaker verification task. We propose a reduced feature vector employing new information detected from the speaker's ...
Improved Text-Independent Speaker Recognition using. Gaussian Mixture Probabilities. Balakrishnan Narayanaswamy. B.E. M.S.R.I.T under VTU, 2003. Advisors ...
This paper presents new Speaker Identification and Speaker Verification systems based on the use of new feature vectors extracted from the speech signal.
The idea of the Speaker Recognition Project is to implement a recognizer which can identify a person by processing his/her voice.
Aug 28, 2019 · This work presents a novel speaker recognition application using a new dimensional cepstral feature vector for building Gaussian Mixture Models (GMM)
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This combined GMM-SVM method gave slightly better results than the GMM method alone. Several points should be emphasized: the results were obtained on a sub-.
This paper presents high performance speaker identification and verification systems based on Gaussian mixture speaker models.
In the clean speech case, it is clear that the GMM speaker ID system maintains high identification performance as the pop- ulation size increases. The largest ...