This paper is published in Volume-6, Issue-6, 2020
Area
Human Computer Interaction
Author
Mehak Sharma
Org/Univ
Vellore Institute of Technology, Vellore, Tamil Nadu, India
Pub. Date
16 November, 2020
Paper ID
V6I6-1153
Publisher
Keywords
Speech Recognition, Correlation, noise

Citationsacebook

IEEE
Mehak Sharma. Speech Recognition for Crime Analysis, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Mehak Sharma (2020). Speech Recognition for Crime Analysis. International Journal of Advance Research, Ideas and Innovations in Technology, 6(6) www.IJARIIT.com.

MLA
Mehak Sharma. "Speech Recognition for Crime Analysis." International Journal of Advance Research, Ideas and Innovations in Technology 6.6 (2020). www.IJARIIT.com.

Abstract

Human-Computer Interaction (HCI) is a multidisciplinary field of study focusing on the design of computer technology and, in particular, the interaction between humans (the users) and computers. While initially concerned with computers, HCI has since expanded to cover almost all forms of information technology design. We aim to take this further in the field of crime analysis by developing a system for speech recognition. This will be a huge contribution to the crime department where speech recognition will not only help them to handle large amount of data but also in checking the criminal records faster. This is a modern and advanced technique where with the help of voice recognition test file will be compared with database files.
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