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This paper is aimed to implement a robust speaker identification system. It is a software architecture which identifies the current talker out of a set of speakers. The system is emphasized on text dependent speaker identification system. It contains three main modules: endpoint detection, feature extraction and feature matching. Th module, endpoint detection, removes unwanted signal and background noise from the input speech signal before subsequent processing.
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Zaw Win Aung (2018) studied this question.
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