Review on Voice Recognition for Student Attendance

This paper presents a novel approach to automating student attendance through voice recognition technology. The proposed system leverages biometric authentication, analyzing unique voice patterns to verify student identities. By integrating advanced technologies such as VOSK for speech recognition, Python for audio analysis, and SQLite for database management, the system ensures efficient and fraud-resistant attendance tracking. The voice biometric system eliminates the need for manual attendance methods, such as roll calls or ID checks, which are often time-consuming and prone to errors. Additionally, the system provides a contactless solution, enhancing safety and convenience, especially in large educational institutions. The study highlights its effectiveness in modernizing classroom management and improving administrative efficiency. Key challenges, including noise sensitivity and environmental variations, are addressed, showcasing the system's potential to revolutionize attendance tracking in educational settings.