AbstractsLanguage, Literature & Linguistics

Speaker identification is the process of identifying the individual newlineusing the individual s speech signal for applications like secure information newlineaccess system voice based attendance entry system, forensic system etc newlineConventional speaker identification systems use long duration speech signals newlinefor identifying the speaker The difficulty with speaker identification using newlineshort duration speech signal is in acquiring sufficient speaker specific newlineinformation from the speech signal This thesis investigates five methods of newlinespeaker identification by utilizing short utterance of speech signals Block newlinetruncation on wavelet sub band processed speech signal cross lingual speech newlineprocessing multilingual speech processing combined vocal tract and auditory newlinesystems quadrilateral structure filter bank analysis are used to obtain efficient newlineclosed set text independent speaker identification newlineA narrow band noise robust speaker identification system presented newlinein this thesis is based on the idea of using sub band processing followed by newlineblock truncation to build the model of a particular speaker When a speech newlinesignal is partly degraded by a narrow band frequency selective noise a part newlineof the speech spectrum may still be uncorrupted This uncorrupted spectrum newlineprovides an opportunity for improvement in speaker identification newlineperformance if the speech signal is processed in sub bands newline newline%%%refernce p136-150.