International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 99

Research Paper | Electronics & Communication Engineering | India | Volume 6 Issue 2, February 2017


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

Shrikant Upadhyay, Sudhir Kumar Sharma, Pawan Kumar, Aditi Upadhyay


Abstract: 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.


Keywords: Hindi Database, Adverse Acoustic Condition, Feature Extraction, Text Dependent


Edition: Volume 6 Issue 2, February 2017,


Pages: 2002 - 2006


How to Cite this Article?

Shrikant Upadhyay, Sudhir Kumar Sharma, Pawan Kumar, Aditi Upadhyay, "Text-Dependent Speaker Identification and Verification Using Hindi Database in Adverse Acoustic Condition", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART2017954, Volume 6 Issue 2, February 2017, 2002 - 2006

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