Automatic Speaker Recognition (ASR) refers to the task of identifying a person based on his or her voice with the help of machines. It has been predicted that telephone-based services with integrated speech recognition, speaker recognition, and language recognition will supplement or even replace human-operated telephone services in the future. The main aim of this project is speaker identification, which consists of comparing a speech signal from an unknown speaker to a database of known speaker.  The speaker identification is the process of determining which registered speaker provides a given speech. On the other hand, speaker verification is the process of rejecting or accepting the identity claim of  a speaker Results of ASR are highly dependent on database. In this paper, a methodology and a typical experimental setup used for development of corpora for various tasks in the text-independent speaker identification in different Indian languages, viz  Hindi ,English and Gujrati  have been described. Finally This paper describes efforts to create corpora to support and evaluate systems that perform speaker recognition where channel and language may vary.