Speaker verification based on Saudi accented Arabic database

Speaker verification is concerned with verifying the speakerpsilas claimed identity. This paper reports on recent experiments we carried out for speaker verification using a Saudi accented Arabic telephone speech database with 1033 speakers. Gaussian Mixture Model was employed in these experiments. In speaker verification, users might produce two or more utterances. We show that we can reduce error rates by combining scores of these utterances.