METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION
A method for determining potentially undesirable voices, in embodiments, includes: receiving audio recordings comprising voices associated with undesirable activity, and determining audio components of each of the audio recordings. The method may further comprise generating a multi-dimensional vecto...
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 | GUAN, Zhiyuan DICKISON, Mark E MOULINIER, Isabelle Alice Yvonne ASHBY, Carl S |
| description | A method for determining potentially undesirable voices, in embodiments, includes: receiving audio recordings comprising voices associated with undesirable activity, and determining audio components of each of the audio recordings. The method may further comprise generating a multi-dimensional vector of the audio components for each of the plurality of audio recordings, and comparing audio components between the multi-dimensional vectors to determine clusters of multi-dimensional vectors, each cluster comprising two or more of the multi-dimensional vectors of audio components, wherein each cluster corresponds to a blacklisted voice. The method may further comprise receiving an audio recording or audio stream, and determining whether the audio recording or audio stream is associated with a voice associated with undesirable activity based on a comparison to the clusters. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2024195905A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2024195905A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2024195905A13</originalsourceid><addsrcrecordid>eNqNyrEKwjAQANAuDqL-w4Gz0FY7dDySSxtsE8ldCp1KkTiJFur_4-IHOL3lbbOxJ2m9ZkCngUcW6hmMD4BRfI9iFWjLyg8URvAGTMCoY0dOQGHXMUS2rgG-EV4pQCDlG2fFerfPNo_5uabDz112NCSqPaXlPaV1me_plT5T5DIvL0Vd1XmFxfm_9QUUnzLT</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION</title><source>esp@cenet</source><creator>GUAN, Zhiyuan ; DICKISON, Mark E ; MOULINIER, Isabelle Alice Yvonne ; ASHBY, Carl S</creator><creatorcontrib>GUAN, Zhiyuan ; DICKISON, Mark E ; MOULINIER, Isabelle Alice Yvonne ; ASHBY, Carl S</creatorcontrib><description>A method for determining potentially undesirable voices, in embodiments, includes: receiving audio recordings comprising voices associated with undesirable activity, and determining audio components of each of the audio recordings. The method may further comprise generating a multi-dimensional vector of the audio components for each of the plurality of audio recordings, and comparing audio components between the multi-dimensional vectors to determine clusters of multi-dimensional vectors, each cluster comprising two or more of the multi-dimensional vectors of audio components, wherein each cluster corresponds to a blacklisted voice. The method may further comprise receiving an audio recording or audio stream, and determining whether the audio recording or audio stream is associated with a voice associated with undesirable activity based on a comparison to the clusters.</description><language>eng</language><subject>ACOUSTICS ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION ; TELEPHONIC COMMUNICATION</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=20240613&DB=EPODOC&CC=US&NR=2024195905A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240613&DB=EPODOC&CC=US&NR=2024195905A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GUAN, Zhiyuan</creatorcontrib><creatorcontrib>DICKISON, Mark E</creatorcontrib><creatorcontrib>MOULINIER, Isabelle Alice Yvonne</creatorcontrib><creatorcontrib>ASHBY, Carl S</creatorcontrib><title>METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION</title><description>A method for determining potentially undesirable voices, in embodiments, includes: receiving audio recordings comprising voices associated with undesirable activity, and determining audio components of each of the audio recordings. The method may further comprise generating a multi-dimensional vector of the audio components for each of the plurality of audio recordings, and comparing audio components between the multi-dimensional vectors to determine clusters of multi-dimensional vectors, each cluster comprising two or more of the multi-dimensional vectors of audio components, wherein each cluster corresponds to a blacklisted voice. The method may further comprise receiving an audio recording or audio stream, and determining whether the audio recording or audio stream is associated with a voice associated with undesirable activity based on a comparison to the clusters.</description><subject>ACOUSTICS</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</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><subject>TELEPHONIC COMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEKwjAQANAuDqL-w4Gz0FY7dDySSxtsE8ldCp1KkTiJFur_4-IHOL3lbbOxJ2m9ZkCngUcW6hmMD4BRfI9iFWjLyg8URvAGTMCoY0dOQGHXMUS2rgG-EV4pQCDlG2fFerfPNo_5uabDz112NCSqPaXlPaV1me_plT5T5DIvL0Vd1XmFxfm_9QUUnzLT</recordid><startdate>20240613</startdate><enddate>20240613</enddate><creator>GUAN, Zhiyuan</creator><creator>DICKISON, Mark E</creator><creator>MOULINIER, Isabelle Alice Yvonne</creator><creator>ASHBY, Carl S</creator><scope>EVB</scope></search><sort><creationdate>20240613</creationdate><title>METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION</title><author>GUAN, Zhiyuan ; DICKISON, Mark E ; MOULINIER, Isabelle Alice Yvonne ; ASHBY, Carl S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2024195905A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>ACOUSTICS</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</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><topic>TELEPHONIC COMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>GUAN, Zhiyuan</creatorcontrib><creatorcontrib>DICKISON, Mark E</creatorcontrib><creatorcontrib>MOULINIER, Isabelle Alice Yvonne</creatorcontrib><creatorcontrib>ASHBY, Carl S</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GUAN, Zhiyuan</au><au>DICKISON, Mark E</au><au>MOULINIER, Isabelle Alice Yvonne</au><au>ASHBY, Carl S</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION</title><date>2024-06-13</date><risdate>2024</risdate><abstract>A method for determining potentially undesirable voices, in embodiments, includes: receiving audio recordings comprising voices associated with undesirable activity, and determining audio components of each of the audio recordings. The method may further comprise generating a multi-dimensional vector of the audio components for each of the plurality of audio recordings, and comparing audio components between the multi-dimensional vectors to determine clusters of multi-dimensional vectors, each cluster comprising two or more of the multi-dimensional vectors of audio components, wherein each cluster corresponds to a blacklisted voice. The method may further comprise receiving an audio recording or audio stream, and determining whether the audio recording or audio stream is associated with a voice associated with undesirable activity based on a comparison to the clusters.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US2024195905A1 |
| source | esp@cenet |
| subjects | ACOUSTICS ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION TELEPHONIC COMMUNICATION |
| title | METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T02%3A52%3A29IST&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=GUAN,%20Zhiyuan&rft.date=2024-06-13&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2024195905A1%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 |