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This paper investigates the influence of GSM speech coding on the performance of a text independent Speaker Recognition System (SRS). The SRS developed perform recognition on reconstructed speech waveform from the coded parameters using Gaussian Mixture Models (GMM) technique. The performance evaluation due to the use of the GSM speech coding namely the GSMEFR (Global System Mobile Enhanced Full Rate)...
This paper investigate the influence of GSMEFR speech Data on the performance of a text independent Speaker Identification System (SIS) based on Gaussian Mixture Models (GMM) classifiers. The performance evaluation due to the use of the GSMEFR speech Data, obtained by passing the local ARADIGIT database through the GSM coder/decoder. The recognition evaluation was also conducted using original ARADIGIT...
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