US 11,676,576 B2
Organizational-based language model generation
Ziad Al Bawab, Sunnyvale, CA (US); Anand U Desai, Sunnyvale, CA (US); Cem Aksoylar, Kirkland, WA (US); Michael Levit, San Jose, CA (US); Xin Meng, Sunnyvale, CA (US); Shuangyu Chang, Sunnyvale, CA (US); Suyash Choudhury, Kirkland, WA (US); Dhiresh Rawal, Redmond, WA (US); Tao Li, Redmond, WA (US); Rishi Girish, Seattle, WA (US); Marcus Jager, Boulder Creek, CO (US); and Ananth Rampura Sheshagiri Rao, Sunnyvale, CA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Aug. 11, 2021, as Appl. No. 17/400,055.
Application 17/400,055 is a continuation of application No. 16/454,621, filed on Jun. 27, 2019, granted, now 11,120,788.
Claims priority of provisional application 62/841,982, filed on May 2, 2019.
Prior Publication US 2022/0013109 A1, Jan. 13, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G10L 15/06 (2013.01); G06N 20/00 (2019.01); G10L 15/14 (2006.01); G10L 15/183 (2013.01)
CPC G10L 15/063 (2013.01) [G06N 20/00 (2019.01); G10L 15/14 (2013.01); G10L 15/183 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computing system comprising:
a memory configured to store an organizational language model trained on data that is accessible to users of an organization; and
a processor coupled to the memory and configured to
receive input from a user of the organization via an application hosted by a host platform in which the organization is a tenant,
recognize speech from the received input based on execution of the organizational language model via the host platform, and
transmit the recognized speech to the application.