Google Inc.

Dhruv Guliani

Rohit Prakash Prabhavalkar

Trevor D Strohman

Giovanni Motta

Françoise Beaufays

Rajiv Mathews

Lillian Zhou

Harry Zhang

Mingqing Chen

Implementations described herein identify and correct automatic speech recognition (ASR) misrecognitions. For example, on-device processor(s) of a client device may generate a predicted textual segment that is predicted to correspond to spoken utterance of a user of the client device, and may receive further input that modifies the predicted textual segment to an alternate textual segment. Further, the on-device processor(s) may store these textual segments in on-device storage as a candidate correction pair, and transmit the candidate correction pair to a remote system. Moreover, remote processor(s) of the remote system may determine that the candidate correction pair is an actual correction pair, and may cause client devices to generate updates for a global ASR model for the candidate correction pair. Additionally, the remote processor(s) may distribute the global ASR model to the client devices and/or additional client devices.

Identifying and correcting automatic speech recognition (ASR) misrecognitions in a decentralized manner

Growing community of inventors

San Francisco, CA, United States of America

Dhruv Guliani