US 12,190,861 B2
Adaptive speech recognition methods and systems
Jitender Kumar Agarwal, Bangalore (IN); Chaya Garg, Plymouth, MN (US); Vasantha Paulraj, Madurai (IN); Ramakrishnan Raman, Bangalore (IN); Mahesh Kumar Sampath, Madurai (IN); and Mohan M Thippeswamy, Bangalore (IN)
Assigned to HONEYWELL INTERNATIONAL INC., Charlotte, NC (US)
Filed by HONEYWELL INTERNATIONAL INC., Charlotte, NC (US)
Filed on Apr. 18, 2022, as Appl. No. 17/659,596.
Claims priority of application No. 202111018599 (IN), filed on Apr. 22, 2021.
Prior Publication US 2022/0343897 A1, Oct. 27, 2022
Int. Cl. G10L 15/22 (2006.01); B64D 11/00 (2006.01); G10L 15/01 (2013.01); G10L 15/06 (2013.01); G10L 15/19 (2013.01); G10L 15/30 (2013.01)
CPC G10L 15/063 (2013.01) [B64D 11/0015 (2013.01); G10L 15/01 (2013.01); G10L 15/19 (2013.01); G10L 15/22 (2013.01); G10L 15/30 (2013.01); G10L 2015/0635 (2013.01); G10L 2015/223 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of assisting operation of a vehicle, the method comprising:
analyzing a transcription of an audio communication with respect to the vehicle to characterize a nonstandard pattern within the transcription of the audio communication;
obtaining a ground truth for the transcription of the audio communication;
determining one or more performance metrics associated with the nonstandard pattern within the transcription based on a relationship between the transcription of the audio communication and the ground truth for the transcription;
updating a speech recognition vocabulary for the vehicle to include the nonstandard pattern based at least in part on the one or more performance metrics, resulting in an updated speech recognition vocabulary; and
determining an updated speech recognition model for the vehicle using the updated speech recognition vocabulary and the audio communication.