Speaker Identification: Variations of a Human voice

Kinkiri, Saritha; Keates, Simeon

Abstract

Communication is an essential part of human life. We humans use speech (words) to convey information to each other. Vocal tract characteristics in a human voice help identify a speaker. However, human speech signals are language independent and information is speaker dependent. With advanced technology, humans can use her/his voice as biometric authentication, which is unique for individuals. One can use their voice in different applications such as, adding an extra lawyer for security in online banking etc. The main aim of the paper is to identify the uniqueness of a voice, which should be independent of a speakers' language.

Citation

Kinkiri, S., & Keates, S. (2020). Speaker Identification: Variations of a Human voice. In 2020 International Conference on Advances in Computing and Communication Engineering (ICACCE). https://doi.org/10.1109/icacce49060.2020.9154998

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 2020 International Conference on Advances in Computing and Communication Engineering (ICACCE)
• Start Date: Jun 22, 2020
• End Date: Jun 24, 2020
• Online Publication Date: Aug 4, 2020
• Publication Date: 2020
• Deposit Date: Mar 17, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2020 International Conference on Advances in Computing and Communication Engineering (ICACCE)
• ISBN: 9781728163628
• DOI: https://doi.org/10.1109/icacce49060.2020.9154998
• Keywords: Machine Learning, Communication, Voice Recognition, Speech Recognition, Security and Biometric Authentication
• Public URL: http://researchrepository.napier.ac.uk/Output/2753703