International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 1 January-February 2024 Submit your research before last 3 days of February to publish your research paper in the issue of January-February.

Voice-based Biometric Data through Machine Learning Algorithm using Feature-based Classification with the Wood Texture using Android Studio

Author(s) Swati, Poonam jyoti, Nidhi Singh, Yashasvi
Country India
Abstract Voice the authentication process uses artificial intelligence to analyze the distinct parameters which having vocal patterns to register to authenticate the dual effect of increasing security using the voice biometrics technology refers to the knowledge-based authentication methods like voice matching algorithms enable the organization the identity of a parameter that effect on the synthetic voice attacks this is text-independent speaker recognition system voice by comparing the recorded audio signal with the prerecorded reference database. Voice recognition is analyzing the input voice of a person and conversations with the search engine SERP-based conversational response generation. Unauthorized entries can be dangerous to control and checking them frequently changes of loss and problems occurring in it like phones and lockers.
Keywords Voice authentication, Search engine result page,
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-10
Cite This Voice-based Biometric Data through Machine Learning Algorithm using Feature-based Classification with the Wood Texture using Android Studio - Swati, Poonam jyoti, Nidhi Singh, Yashasvi - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.13202
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.13202
Short DOI https://doi.org/gthqp5

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