SYMBOL SEQUENCE ESTIMATION IN SPEECH

Symbol sequences are estimated using a computer-implemented method including detecting one or more candidates of a target symbol sequence from a speech-to-text data, extracting a related portion of each candidate from the speech-to-text data, detecting repetition of at least a partial sequence of ea...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kurata, Gakuto, Suzuki, Masayuki, Church, Kenneth W, Sethy, Abhinav, Ramabhadran, Bhuvana, Tachibana, Ryuki
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 Kurata, Gakuto
Suzuki, Masayuki
Church, Kenneth W
Sethy, Abhinav
Ramabhadran, Bhuvana
Tachibana, Ryuki
description Symbol sequences are estimated using a computer-implemented method including detecting one or more candidates of a target symbol sequence from a speech-to-text data, extracting a related portion of each candidate from the speech-to-text data, detecting repetition of at least a partial sequence of each candidate within the related portion of the corresponding candidate, labeling the detected repetition with a repetition indication, and estimating whether each candidate is the target symbol sequence, using the corresponding related portion including the repetition indication of each of the candidates.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2020013408A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2020013408A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2020013408A13</originalsourceid><addsrcrecordid>eNrjZFAJjvR18vdRCHYNDHX1c3ZVcA0O8fR1DPH091Pw9FMIDnB1dfbgYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkYGBobGJgYWjobGxKkCAA7SI-I</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>SYMBOL SEQUENCE ESTIMATION IN SPEECH</title><source>esp@cenet</source><creator>Kurata, Gakuto ; Suzuki, Masayuki ; Church, Kenneth W ; Sethy, Abhinav ; Ramabhadran, Bhuvana ; Tachibana, Ryuki</creator><creatorcontrib>Kurata, Gakuto ; Suzuki, Masayuki ; Church, Kenneth W ; Sethy, Abhinav ; Ramabhadran, Bhuvana ; Tachibana, Ryuki</creatorcontrib><description>Symbol sequences are estimated using a computer-implemented method including detecting one or more candidates of a target symbol sequence from a speech-to-text data, extracting a related portion of each candidate from the speech-to-text data, detecting repetition of at least a partial sequence of each candidate within the related portion of the corresponding candidate, labeling the detected repetition with a repetition indication, and estimating whether each candidate is the target symbol sequence, using the corresponding related portion including the repetition indication of each of the candidates.</description><language>eng</language><subject>ACOUSTICS ; MUSICAL INSTRUMENTS ; PHYSICS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION</subject><creationdate>2020</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&amp;date=20200109&amp;DB=EPODOC&amp;CC=US&amp;NR=2020013408A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20200109&amp;DB=EPODOC&amp;CC=US&amp;NR=2020013408A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Kurata, Gakuto</creatorcontrib><creatorcontrib>Suzuki, Masayuki</creatorcontrib><creatorcontrib>Church, Kenneth W</creatorcontrib><creatorcontrib>Sethy, Abhinav</creatorcontrib><creatorcontrib>Ramabhadran, Bhuvana</creatorcontrib><creatorcontrib>Tachibana, Ryuki</creatorcontrib><title>SYMBOL SEQUENCE ESTIMATION IN SPEECH</title><description>Symbol sequences are estimated using a computer-implemented method including detecting one or more candidates of a target symbol sequence from a speech-to-text data, extracting a related portion of each candidate from the speech-to-text data, detecting repetition of at least a partial sequence of each candidate within the related portion of the corresponding candidate, labeling the detected repetition with a repetition indication, and estimating whether each candidate is the target symbol sequence, using the corresponding related portion including the repetition indication of each of the candidates.</description><subject>ACOUSTICS</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>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFAJjvR18vdRCHYNDHX1c3ZVcA0O8fR1DPH091Pw9FMIDnB1dfbgYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkYGBobGJgYWjobGxKkCAA7SI-I</recordid><startdate>20200109</startdate><enddate>20200109</enddate><creator>Kurata, Gakuto</creator><creator>Suzuki, Masayuki</creator><creator>Church, Kenneth W</creator><creator>Sethy, Abhinav</creator><creator>Ramabhadran, Bhuvana</creator><creator>Tachibana, Ryuki</creator><scope>EVB</scope></search><sort><creationdate>20200109</creationdate><title>SYMBOL SEQUENCE ESTIMATION IN SPEECH</title><author>Kurata, Gakuto ; Suzuki, Masayuki ; Church, Kenneth W ; Sethy, Abhinav ; Ramabhadran, Bhuvana ; Tachibana, Ryuki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020013408A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>ACOUSTICS</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>Kurata, Gakuto</creatorcontrib><creatorcontrib>Suzuki, Masayuki</creatorcontrib><creatorcontrib>Church, Kenneth W</creatorcontrib><creatorcontrib>Sethy, Abhinav</creatorcontrib><creatorcontrib>Ramabhadran, Bhuvana</creatorcontrib><creatorcontrib>Tachibana, Ryuki</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kurata, Gakuto</au><au>Suzuki, Masayuki</au><au>Church, Kenneth W</au><au>Sethy, Abhinav</au><au>Ramabhadran, Bhuvana</au><au>Tachibana, Ryuki</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYMBOL SEQUENCE ESTIMATION IN SPEECH</title><date>2020-01-09</date><risdate>2020</risdate><abstract>Symbol sequences are estimated using a computer-implemented method including detecting one or more candidates of a target symbol sequence from a speech-to-text data, extracting a related portion of each candidate from the speech-to-text data, detecting repetition of at least a partial sequence of each candidate within the related portion of the corresponding candidate, labeling the detected repetition with a repetition indication, and estimating whether each candidate is the target symbol sequence, using the corresponding related portion including the repetition indication of each of the candidates.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US2020013408A1
source esp@cenet
subjects ACOUSTICS
MUSICAL INSTRUMENTS
PHYSICS
SPEECH ANALYSIS OR SYNTHESIS
SPEECH OR AUDIO CODING OR DECODING
SPEECH OR VOICE PROCESSING
SPEECH RECOGNITION
title SYMBOL SEQUENCE ESTIMATION IN SPEECH
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T12%3A58%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=Kurata,%20Gakuto&rft.date=2020-01-09&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2020013408A1%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