AI Voice Detection Tool

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 16 | 01 | Page :
    By

    Mr.M.R.Shaikh,

  • Sanjivani, Kulkarni Maitreyee,

  • Kotme Gauri,

  • Lahare Samruddhi,

  • Jawale Vaishnavi,

  1. Lecturer, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India
  2. Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, Maharashtra, India
  3. Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, Maharashtra, India
  4. Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, Maharashtra, India
  5. Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, Maharashtra, India

Abstract

In today’s digital era, distinguishing between AI-generated and human voices is more important than ever. This project introduces an AI-based voice detection system designed to accurately identify synthetic voices, ensuring security and authenticity across various applications like cybersecurity, media verification, and fraud prevention.Our system works by analyzing incoming audio samples and comparing them against a diverse database of both AI-generated and real human voices. Using advanced machine learning and signal processing, it examines key acoustic features such as pitch, tone, speech rhythm, and spectral patterns. A crucial aspect of this process is feature extraction, where the model breaks down voice signals into identifiable characteristics, making it easier to differentiate between synthetic and real speech.To boost accuracy, the system integrates noise filtering for better performance in different environments and accent adaptation to support multiple languages. Real-time processing ensures instant verification, making it highly efficient for immediate decision-making.[1] Additionally, user-friendly reporting tools allow for in-depth analysis of flagged audio files, providing users with valuable insights.This technology has wide-ranging applications, from preventing deepfake manipulation and securing voice-based authentication systems to verifying news reports and voiceovers in media. By tackling the risks posed by AI-generated voices, our system contributes to a more secure and trustworthy digital landscape.

Keywords: AI voice detection, human speech identification, machine learning, signal processing, real- time analysis, deepfake prevention, cybersecurity, audio authenticity.

How to cite this article:
Mr.M.R.Shaikh, Sanjivani, Kulkarni Maitreyee, Kotme Gauri, Lahare Samruddhi, Jawale Vaishnavi. AI Voice Detection Tool. Journal of Instrumentation Technology & Innovations. 2026; 16(01):-.
How to cite this URL:
Mr.M.R.Shaikh, Sanjivani, Kulkarni Maitreyee, Kotme Gauri, Lahare Samruddhi, Jawale Vaishnavi. AI Voice Detection Tool. Journal of Instrumentation Technology & Innovations. 2026; 16(01):-. Available from: https://journals.stmjournals.com/joiti/article=2026/view=238960


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Ahead of Print Subscription Original Research
Volume 16
01
Received 14/04/2025
Accepted 08/09/2025
Published 20/03/2026
Publication Time 340 Days
40

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