Abstract :
The main aim of this paper is to develop automatic attendance system using speaker recognition technique. The proposed system is software architecture which allows the user to access the system by making an utterance from microphone and the attendance of corresponding user is marked in the Microsoft Office Excel. The proposed system automates the whole process of taking attendance. The system uses text dependent open set speaker identification with MFCC features and vector quantization based speaker modeling for authenticating the user. A simple Euclidean distance scoring is used as the classifier. For decision making, the new approach, mean value threshold is proposed to optimize the system performance. The database consists of 60 speech samples which were collected from 20 speakers consisting of 10 male speakers and 10 female speakers. The experimental study shows that the proposed system with mean value threshold achieves better results in recognition accuracy and verification performance than the system with other threshold setting. Dr. Zaw Win Aung "Automatic Attendance System Using Speaker Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18763.pdf Paper URL: http://www.ijtsrd.com/other-scientific-research-area/other/18763/automatic-attendance-system-using-speaker-recognition/dr-zaw-win-aung
Keyword :
automatic attendance system; speaker recognition; voice biometric; mean value threshold; maximum value threshold