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公开(公告)号:US12293757B2
公开(公告)日:2025-05-06
申请号:US18374540
申请日:2023-09-28
Applicant: Adeia Guides Inc.
Inventor: Bryan James , Manik Malhotra
Abstract: Systems and methods are disclosed herein for training a control system based on prior audio inputs. The disclosed systems and methods receive a non-lexical or interjectional audio input. State change indications are also received and stored by the system within a predefined period of time starting from the time the system received the audio input. The system then receives a subsequent audio input. If the audio inputs of both the audio input and the subsequent audio input match, and contextual information for the audio input and the subsequent audio input match, the system stores a match association, comprising a confidence factor, for the subsequent audio input to the audio input in the associative data structure. If the confidence factor is greater than a preconfigured confidence level, the system executes one or more functions based on stored state change indications.
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公开(公告)号:US12204868B2
公开(公告)日:2025-01-21
申请号:US18195720
申请日:2023-05-10
Applicant: Adeia Guides Inc.
Inventor: Sashikumar Venkataraman , Ahmed Nizam Mohaideen P , Manik Malhotra
IPC: G10L15/22 , G06F16/2455 , G06F40/211 , G06F40/247 , G06F40/30 , G06F40/35 , G10L15/06
Abstract: Systems and methods are disclosed herein for training a model to accurately determine whether two phrases are conversationally connected. A media guidance application may detect a first phrase and a second phrase, translate each phrase to a string of word types, append each string to the back of a prior string to create a combined string, determine a degree to which any of the individual strings matches any singleton template, and determine a degree to which the combined string matches any conversational template. Based on the degrees to which the individual and combination strings match the singleton and conversational templates, respectively, strengths of association are correspondingly updated.
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