公开(公告)号：US20210157834A1

公开(公告)日：2021-05-27

申请号：US16698484

申请日：2019-11-27

Applicant: Amazon Technologies, Inc.

Inventor： Swaminathan Sivasubramanian ,  Vasanth Philomin ,  Vikram Anbazhagan ,  Ashish Singh ,  Atul Deo ,  Anuroop Arora ,  Colin Thomas Davidson ,  Matthew Chih-Hui Chiou ,  Snehankita Damacharla

IPC: G06F16/61 ,  G06F16/635 ,  G10L15/22 ,  G10L15/18 ,  G06F16/683 ,  G06F16/68 ,  G06F16/638

Abstract: Systems and methods to support searching and diagnostics capabilities in a customer contact service. Contacts data may be encoded as text (e.g., chat logs), audio (e.g., audio recordings), and various other modalities. A computing resource service provider may implement a service to receive, from a client, a request to perform a search with a specified set of parameters on a plurality of outputs associated with a plurality of contacts data, wherein the plurality of outputs are generated based at least in part by: transcripts generated based on audio data of the plurality of contacts data, metadata determined based the transcripts using one or more natural language processing (NLP) techniques, categories that are matched based at least in part on the transcripts, and search the plurality of outputs to obtain a search result determined based at least in part on the transcripts, metadata, and categories, and provide the search result to the client.

公开(公告)号：US20240331821A1

公开(公告)日：2024-10-03

申请号：US18194350

申请日：2023-03-31

Applicant: Amazon Technologies, Inc.

Inventor： Vijit Gupta ,  Matthew Chih-Hui Chiou ,  Amiya Kishor Chakraborty ,  Anuroop Arora ,  Varun Sembium Varadarajan ,  Sarthak Handa ,  Amit Vithal Sawant ,  Glen Herschel Carpenter ,  Jesse Deng ,  Mohit Narendra Gupta ,  Rohil Bhattarai ,  Samuel Benjamin Schiff ,  Shane Michael McGookey ,  Tianze Zhang

IPC: G16H15/00 ,  G06F40/40 ,  G16H10/60

CPC classification number: G16H15/00 ,  G06F40/40 ,  G16H10/60

Abstract: Systems and methods for performing medical audio summarizing for medical conversations are disclosed. An audio file and meta data for a medical conversation are provided to a medical audio summarization system. A transcription machine learning model is used by the medical audio summarization system to generate a transcript and a natural language processing service of the medical audio summarization system is used to generate a summary of the transcript. The natural language processing service may include at least four machine learning models that identify medical entities in the transcript, identify speaker roles in the transcript, determine sections of the transcript corresponding to the summary, and extract or abstract phrases for the summary. The identified medical entities and speaker roles, determined sections, and extracted or abstracted phrases may then be used to generate the summary.