	US 12,315,624 B2
	Generating structured text content using speech recognition models
Christopher S. Co, Saratoga, CA (US); Navdeep Jaitly, Mountain View, CA (US); Lily Hao Yi Peng, Mountain View, CA (US); Katherine Irene Chou, Palo Alto, CA (US); and Ananth Sankar, Palo Alto, CA (US)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Aug. 15, 2023, as Appl. No. 18/234,350.
Application 18/234,350 is a continuation of application No. 17/112,279, filed on Dec. 4, 2020, granted, now 11,763,936.
Application 17/112,279 is a continuation of application No. 15/362,643, filed on Nov. 28, 2016, granted, now 10,860,685, issued on Dec. 8, 2020.
Prior Publication US 2023/0386652 A1, Nov. 30, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G10L 15/26 (2006.01); G06F 40/47 (2020.01); G06F 40/58 (2020.01); G10L 15/06 (2013.01); G10L 15/14 (2006.01); G10L 15/16 (2006.01); G10L 15/18 (2013.01); G10L 15/183 (2013.01); G16H 40/20 (2018.01)

CPC G16H 40/20 (2018.01) [G06F 40/47 (2020.01); G06F 40/58 (2020.01); G10L 15/063 (2013.01); G10L 15/142 (2013.01); G10L 15/16 (2013.01); G10L 15/1822 (2013.01); G10L 15/183 (2013.01); G10L 15/26 (2013.01)]

18 Claims

1. A computer implemented method comprising:

obtaining an input acoustic sequence that includes a digital representation of a conversation between a medical professional and a patient;

processing the input acoustic sequence using a speech recognition model to generate a transcription of the input acoustic sequence; and

providing the generated transcription of the input acoustic sequence as input to a domain-specific predictive model to generate structured text content, wherein the domain-specific predictive model comprises an automated billing predictive model that is configured to generate billing information based on the transcription of the input acoustic sequence, wherein the billing information comprises data indicating a cost associated with an interaction between the medical professional and the patient.