Intellectual Property India Publishes Patent Application for Using Synthetic Data To Improve Word Error Rate Of Differentially Private Asr Models

MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202617092741 A) filed by Google LLC on July 30, 2026, for Using Synthetic Data To Improve Word Error Rate Of Differentially Private Asr Models.

Inventors include Liu, Hongbin; Shejwalkar, Virat Vishnu; Wang, Lun; Thakkar, Om Dipakbhai; Thakurta, Abhradeep Guha; and Narayanan, Arun.

The application for the patent was published on October 30, 2026, under issue no. 44/2026.

Abstract: A method (600) includes pre-training an audio encoder (210) on a public training utterance set and from a corpus of text utterances (501), sampling a predetermined number of most frequent words (501). The method also includes randomly generating a predetermined number of tr...