MACHINE LEARNING ENABLED INTERACTION SUMMARIZATION AND ANALYSIS
Disclosed herein is an interaction summarization system for automatically generating summary output. The interaction summarization system generates a transcript from an interaction including content, the content including at least one of written text, audio speech, non-word symbols, metadata, silenc...
Gespeichert in:
Hauptverfasser: | , , , , , |
---|---|
Format: | Patent |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Britt, Richard A Dwyer, Michael C McMahon, Bruce K Gallino, Jeffrey A MacQueen, Roderick A Sudd, Douglas J |
description | Disclosed herein is an interaction summarization system for automatically generating summary output. The interaction summarization system generates a transcript from an interaction including content, the content including at least one of written text, audio speech, non-word symbols, metadata, silences, language characteristics, or acoustic characteristics, wherein the content is attributed to a participant in the interaction, and generates an interaction summary of the transcript using at least one of an extractive machine learning summarization model or an abstractive machine learning summarization model that summarizes the content of the interaction. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2024144088A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2024144088A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2024144088A13</originalsourceid><addsrcrecordid>eNrjZLD3dXT28PRzVfBxdQzy8_RzV3D1c3TycXVR8PQLcQ1ydA7x9PdTCA719XUM8oxyBPMc_VyA2NEnMtgzmIeBNS0xpziVF0pzMyi7uYY4e-imFuTHpxYXJCan5qWWxIcGGxkYmRiamBhYWDgaGhOnCgA2Fyt2</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>MACHINE LEARNING ENABLED INTERACTION SUMMARIZATION AND ANALYSIS</title><source>esp@cenet</source><creator>Britt, Richard A ; Dwyer, Michael C ; McMahon, Bruce K ; Gallino, Jeffrey A ; MacQueen, Roderick A ; Sudd, Douglas J</creator><creatorcontrib>Britt, Richard A ; Dwyer, Michael C ; McMahon, Bruce K ; Gallino, Jeffrey A ; MacQueen, Roderick A ; Sudd, Douglas J</creatorcontrib><description>Disclosed herein is an interaction summarization system for automatically generating summary output. The interaction summarization system generates a transcript from an interaction including content, the content including at least one of written text, audio speech, non-word symbols, metadata, silences, language characteristics, or acoustic characteristics, wherein the content is attributed to a participant in the interaction, and generates an interaction summary of the transcript using at least one of an extractive machine learning summarization model or an abstractive machine learning summarization model that summarizes the content of the interaction.</description><language>eng</language><subject>ACOUSTICS ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240502&DB=EPODOC&CC=US&NR=2024144088A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240502&DB=EPODOC&CC=US&NR=2024144088A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Britt, Richard A</creatorcontrib><creatorcontrib>Dwyer, Michael C</creatorcontrib><creatorcontrib>McMahon, Bruce K</creatorcontrib><creatorcontrib>Gallino, Jeffrey A</creatorcontrib><creatorcontrib>MacQueen, Roderick A</creatorcontrib><creatorcontrib>Sudd, Douglas J</creatorcontrib><title>MACHINE LEARNING ENABLED INTERACTION SUMMARIZATION AND ANALYSIS</title><description>Disclosed herein is an interaction summarization system for automatically generating summary output. The interaction summarization system generates a transcript from an interaction including content, the content including at least one of written text, audio speech, non-word symbols, metadata, silences, language characteristics, or acoustic characteristics, wherein the content is attributed to a participant in the interaction, and generates an interaction summary of the transcript using at least one of an extractive machine learning summarization model or an abstractive machine learning summarization model that summarizes the content of the interaction.</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD3dXT28PRzVfBxdQzy8_RzV3D1c3TycXVR8PQLcQ1ydA7x9PdTCA719XUM8oxyBPMc_VyA2NEnMtgzmIeBNS0xpziVF0pzMyi7uYY4e-imFuTHpxYXJCan5qWWxIcGGxkYmRiamBhYWDgaGhOnCgA2Fyt2</recordid><startdate>20240502</startdate><enddate>20240502</enddate><creator>Britt, Richard A</creator><creator>Dwyer, Michael C</creator><creator>McMahon, Bruce K</creator><creator>Gallino, Jeffrey A</creator><creator>MacQueen, Roderick A</creator><creator>Sudd, Douglas J</creator><scope>EVB</scope></search><sort><creationdate>20240502</creationdate><title>MACHINE LEARNING ENABLED INTERACTION SUMMARIZATION AND ANALYSIS</title><author>Britt, Richard A ; Dwyer, Michael C ; McMahon, Bruce K ; Gallino, Jeffrey A ; MacQueen, Roderick A ; Sudd, Douglas J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2024144088A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>ACOUSTICS</topic><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>MUSICAL INSTRUMENTS</topic><topic>PHYSICS</topic><topic>SPEECH ANALYSIS OR SYNTHESIS</topic><topic>SPEECH OR AUDIO CODING OR DECODING</topic><topic>SPEECH OR VOICE PROCESSING</topic><topic>SPEECH RECOGNITION</topic><toplevel>online_resources</toplevel><creatorcontrib>Britt, Richard A</creatorcontrib><creatorcontrib>Dwyer, Michael C</creatorcontrib><creatorcontrib>McMahon, Bruce K</creatorcontrib><creatorcontrib>Gallino, Jeffrey A</creatorcontrib><creatorcontrib>MacQueen, Roderick A</creatorcontrib><creatorcontrib>Sudd, Douglas J</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Britt, Richard A</au><au>Dwyer, Michael C</au><au>McMahon, Bruce K</au><au>Gallino, Jeffrey A</au><au>MacQueen, Roderick A</au><au>Sudd, Douglas J</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>MACHINE LEARNING ENABLED INTERACTION SUMMARIZATION AND ANALYSIS</title><date>2024-05-02</date><risdate>2024</risdate><abstract>Disclosed herein is an interaction summarization system for automatically generating summary output. The interaction summarization system generates a transcript from an interaction including content, the content including at least one of written text, audio speech, non-word symbols, metadata, silences, language characteristics, or acoustic characteristics, wherein the content is attributed to a participant in the interaction, and generates an interaction summary of the transcript using at least one of an extractive machine learning summarization model or an abstractive machine learning summarization model that summarizes the content of the interaction.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_US2024144088A1 |
source | esp@cenet |
subjects | ACOUSTICS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION |
title | MACHINE LEARNING ENABLED INTERACTION SUMMARIZATION AND ANALYSIS |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T07%3A18%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Britt,%20Richard%20A&rft.date=2024-05-02&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2024144088A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |