AHUMADA: A large speech corpus in Spanish for speaker characterization and identification
Speech Communication - Speaker recognition and its commercial and forensic applications
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
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Abstract. This paper examines the linear relation between Shifted Delta Cepstral (SDC) features and the dynamic of prosodic features. SDC features were reported to produce superior performance to Δfeatures in Language Identification and Speaker Recognition. A selection of more correlated SDC features is used in speaker verification to evaluate its robustness to channel/handset mismatch. The experiment reflects superior performance of selected SDC features regarding to Δfeatures in speaker verification using speech samples from NIST 2001 Ahumada database.