Research Output
Speaker Identification: Variations of a Human voice
  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.

  • Date:

    04 August 2020

  • Publication Status:

    Published

  • Publisher

    IEEE

  • DOI:

    10.1109/icacce49060.2020.9154998

  • Cross Ref:

    10.1109/icacce49060.2020.9154998

  • Funders:

    Edinburgh Napier Funded

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

Authors

Keywords

Machine Learning, Communication, Voice Recognition, Speech Recognition, Security and Biometric Authentication

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