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US Patent 11790896 Detecting non-verbal, audible communication conveying meaning

Patent 11790896 was granted and assigned to Noble Systems Corporation on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
‌
Noble Systems Corporation
Current Assignee
‌
Noble Systems Corporation
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11790896
Patent Inventor Names
Christopher S. Haggerty
Patrick M. McDaniel
Date of Patent
October 17, 2023
Patent Application Number
17486454
Date Filed
September 27, 2021
Patent Citations
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US Patent 10319365 Text-to-speech processing with emphasized output audio
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US Patent 10600408 Content output management based on speech quality
Patent Citations Received
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US Patent 11978457 Method for uniquely identifying participants in a recorded streaming teleconference
0
Patent Primary Examiner
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Jakieda R Jackson
CPC Code
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G10L 15/1815
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G10L 15/1807
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G10L 15/02
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G10L 15/26
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G10L 17/00
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G10L 15/04
Patent abstract

Various embodiments of the invention provide methods, systems, and computer-program products for analyzing an audio to capture semantic and non-semantic characteristics of the audio and corresponding relationships between the semantic and non-semantic characteristics. In particular embodiments, the audio is segmented into a set of utterance segments containing a party speaking on the audio and a set of noise segments containing the party not speaking on the audio. The semantic and non-semantic characteristics are then captured for each of the utterance segments. Specifically, speech analytics is performed on each segment to identify the words spoken by the party in the segment as semantic characteristics. Further, laughter, emotion, and sentence boundary detection is performed on each segment to identify occurrences of such in the segment as non-semantic characteristics. Once identified for each segment, various embodiments of the invention involve constructing a transcript based on the identified semantic and non-semantic characteristics.

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