Automatic generation of a contextual meeting summary
AssigneeCapital One Services, LLC
InventorsGrant Eden, Jeremy Goodsitt, Austin Walters, Anh Truong
Life of this patent
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Abstract
Systems and methods are disclosed herein for building contextual transcripts. A computing system may receive a textual transcript of a meeting that contains a variety of statements made by various attendees of the meeting, select the first statement made during the meeting, and determine which meeting attendee made the statement. A machine learning model corresponding to the particular attendee that has been trained using previously received statements by the particular attendee may be used on the utterance to determine the tone of the utterance. That tone may be recorded within the transcript and this process may be repeated for each utterance to build a contextual transcript.
Claims20
A system for identifying speakers, the system comprising:
- one or more processors;
- and
- one or more non-transitory computer-readable storage media storing instructions, which when executed by the one or more processors, cause the one or more processors to:
- receive a voice recording of a meeting, wherein the voice recording comprises a plurality of utterances that include an utterance;
- determine, using a directional machine learning model, that the utterance is a response to a previous utterance;
- identify a speaker of the previous utterance;
- and
- update a data structure, for a transcript of the voice recording, to include an identifier of the speaker of the previous utterance as a direction of the utterance.
A method comprising:
- receiving a voice recording of a meeting, wherein the voice recording comprises a plurality of utterances that include an utterance;
- determining, using a directional machine learning model, that the utterance is a response to a previous utterance;
- identifying a corresponding participant of the previous utterance;
- and
- generating a data structure, for a transcript of the voice recording, to include an identifier of the corresponding participant.
One or more non-transitory, computer-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
- receiving a voice recording of a meeting, wherein the voice recording comprises a plurality of utterances that include an utterance;
- determining, using a directional machine learning model, that the utterance is a response to a previous utterance;
- identifying a corresponding participant of the previous utterance;
- and
- generating a data structure, for a transcript of the voice recording, to include an identifier of the corresponding participant.
Dependencies are inferred from the claim text.