AI Based Voice Recognition

EasyChair Preprint 12796

Abstract

Through the use of voice recognition software and machine learning algorithms, this study introduces a novel self diagnosis technique. By switching from password-based authentication to voice-based authentication, which is more user-friendly and safe, the major objective is to boost security and user comfort. The project has a lot of key components that helped it accomplish this goal. First, comprehensive data on voice patterns from a range of user groups will be gathered. The training of voice recognition patterns will start with these voice patterns. To guarantee the quality and dependability of the model, machine learning techniques will be employed to carefully detect and analyze each person’s distinctive voice. A user-friendly interface will be created to efficiently perform voice recognition with humans after thoroughly evaluating the voice recognition model. During login, audio input is preserved.To generate passwords, the interface will incorporate automatic voice recognition technology, which will translate voice input into text. By displacing conventional password authentication techniques, this password reader will offer higher security and effectiveness. This initiative meets the critical need for enhanced security while enhancing the user experience, and it is a big step forward for the future of personal identification. The identification procedure may alter, becoming more secure and user-centered thanks to the usage of voice recognition and machine learning algorithms .

Keyphrases: Authentication, Natural Language Processing, Security, Voice Recognition

@booklet{EasyChair:12796,
  author    = {Somu Sasi Balaji and Jujjuri Mohith and Kancharla Niteesh and Alokam Sony Sai Sri Ram},
  title     = {AI Based Voice Recognition},
  howpublished = {EasyChair Preprint 12796},
  year      = {EasyChair, 2024}}