Text-Dependent Speaker Identification and Verification Using Hindi Database in Adverse Acoustic Condition

Human voice is one the medium through he/she communicate with the real world. Text-dependent voice or database can be used to protect your asset or privacy in many respects. Speaker identification and verification is one the issues that must be tested and verified so, that we can share information to the far location from the remote area and used for different application purposes like account access, password verification, pin access etc. Here, text-dependent Hindi database has been used from shunay to nau and we try to evaluate the efficiency and error rate in adverse acoustic condition. Original text might be corrupted or disturbed and person sitting at the access point may not identify the authenticate user in such situation. So, we put your effort with the help of this paper to identify and verify the speaker in adverse acoustic condition for real time applications. Here different combination of feature extraction method has been used to compute the performance of the database.