MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000743 A) filed by Ct University, Ludhiana, Punjab, on Jan. 5, for 'artificial intelligence system and method for authenticity verification of singer's voice.'
Inventor(s) include Pradip Kumar Yadava; Dr. Gagandeep Kaur; and Ms. Karuna.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention is an artificial intelligence-based system and method for identifying modified or altered vocal versions and confirming the authenticity of a singer's voice. In order to detect minute distortions caused by pitch correction, compression, time-stretching, filtering, or AI-based voice synthesis, the system examines audio recordings utilizing singer-specific acoustic fingerprinting, spectrum decomposition, and micro-modulation analysis. A quantitative Voice Authenticity Score that indicates the likelihood of originality is produced by deep learning models trained on real and altered speech samples. The idea relies on biometric vocal characteristics that are challenging to duplicate, in contrast to traditional audio similarity or plagiarism technologies. In digital media ecosystems, the system generates verifiable analytical reports that are appropriate for copyright enforcement, fraud prevention, music distribution validation, live performance verification, and legal evidence."
Disclaimer: Curated by HT Syndication.
