Automatic Speaker Recognition (ASR) is an economic method of biometrics because of the availability of the low cost and powerful processors. Results of ASR are highly dependent on database, i.e., the results obtained in an ASR system are meaningless if the recording conditions are not of standard. In this paper, a methodology and a typical experimental setup used for development of corpora for various ASR tasks, viz., mono-lingual, cross-lingual and multilingual speaker identification in the text-independent mode for different Indian languages, viz., Bengali, Hindi and Indian English have been described. Finally, an ASR system is presented to evaluate the developed corpora.