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US Patent 12079573 Tool for categorizing and extracting data from audio conversations

Patent 12079573 was granted and assigned to Twilio on September, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Twilio
Twilio
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Current Assignee
Twilio
Twilio
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120795730
Patent Inventor Names
Tyler Cole0
Luke Percival de Oliveira0
Alfredo Láinez Rodrigo0
Umair Akeel0
Date of Patent
September 3, 2024
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Patent Application Number
174494050
Date Filed
September 29, 2021
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Patent Citations
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US Patent 8775165 Personalized transliteration interface
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US Patent 8798242 Voice-related information in data management systems
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US Patent 8942359 Offline voicemail
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US Patent 9880807 Multi-component viewing tool for contact center agents
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US Patent 9910909 Method and apparatus for extracting journey of life attributes of a user from user interactions
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US Patent 9965726 Adding to a knowledge base using an ontological analysis of unstructured text
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US Patent 10089639 Method and apparatus for building a user profile, for personalization using interaction data, and for generating, identifying, and capturing user data across interactions using unique user identification
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US Patent 10467339 Using machine learning and natural language processing to replace gender biased words within free-form text
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Patent Primary Examiner
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Ibrahim Siddo
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CPC Code
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G06N 20/00
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G06F 16/65
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G06F 40/279
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Patent abstract

Methods, systems, and computer programs are presented for classifying information in conversations and extracting information from the conversations. An Engagement Intelligence Platform (EIP) analyzes transcripts of conversations to find different states and information associated with each of the states (e.g., identification that the interest rate was quoted, and the quoted value of the interest rate). The EIP analyzes the conversation and labels (e.g., “tags”) the text where the conversation associated with the label took place, such as, “An interest rate was provided.” The labels are customizable, so each client can define its own labels based on business needs. Further, the EIP extracts data from the conversation (e.g., the interest rate is “3%”).

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