SPEAKER RECOGNITION IN NOISY ENVIRONMENT
Mohammed Imdad N, Shameem Akhtar N, Prof.Mohammad Imran Akhtar · International journal of advanced research in computer science and electronics engineering · 2012
T his paper investigates the problem of speaker identification and verification in noisy conditions, assuming that speech signals are corrupted by noise. This paper describes a method that combines multi-condition model training and missing-feature theory to model noise with unknown temporal-spectral characteristics. Introduction of such technique is very useful since it remove avoids the problem of recognizing voice and can also be implemented since here user is not required to remember his password login and hence no stilling chance.