A Review on Five Recent and Near-Future Developments in Computational Processing of Emotion in the Human Voice

We provide a short review on the recent and near-future developments of computational processing of emotion in the voice, highlighting (a) self-learning of representations moving continuously away from traditional expert-crafted or brute-forced feature representations to end-to-end learning, (b) a m...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Emotion Review 2021-01, Vol.13 (1), p.44-50
Hauptverfasser: Schuller, Dagmar M., Schuller, Björn W.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 50
container_issue 1
container_start_page 44
container_title Emotion Review
container_volume 13
creator Schuller, Dagmar M.
Schuller, Björn W.
description We provide a short review on the recent and near-future developments of computational processing of emotion in the voice, highlighting (a) self-learning of representations moving continuously away from traditional expert-crafted or brute-forced feature representations to end-to-end learning, (b) a movement towards the coupling of analysis and synthesis of emotional voices to foster better mutual understanding, (c) weakly supervised learning at a large scale, (d) transfer learning from related domains such as speech recognition or cross-modal transfer learning, and (e) reinforced learning through interactive applications at a large scale. For each of these trends, we shortly explain their implications and potential use such as for interpretation in psychological studies and usage in digital health and digital psychology applications. We also discuss further potential development.
doi_str_mv 10.1177/1754073919898526
format Article
fullrecord <record><control><sourceid>sage_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1177_1754073919898526</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1754073919898526</sage_id><sourcerecordid>10.1177_1754073919898526</sourcerecordid><originalsourceid>FETCH-LOGICAL-c323t-6266ae7a6440e455f98a500ebd6ad5effcf934da1bdc413a5419d99566c36b7b3</originalsourceid><addsrcrecordid>eNp1UF1LwzAUDaLgnL77mD9QTZqv5nHMzQlDRdTXkqY3s2NNRtJO_Pe2THwQfLrnno8L9yB0TckNpUrdUiU4UUxTXehC5PIETUYqI4qr01_M9Dm6SGlLiOQ50xPkZ_gFDg184uDxsjnAsFrwHTa-xo9gYrbsuz4CvoMD7MK-HbSEG4_nod33nema4M0OP8dgIaXGb3BweNGGkR9t3QfgVd8aj99DY-ESnTmzS3D1M6fobbl4na-y9dP9w3y2zizLWZfJXEoDykjOCXAhnC6MIASqWppagHPWacZrQ6vacsqM4FTXWgspLZOVqtgUkeNdG0NKEVy5j01r4ldJSTn2Vf7ta4hkx0gyGyi3oY_DY-l__zdfxmtp</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A Review on Five Recent and Near-Future Developments in Computational Processing of Emotion in the Human Voice</title><source>Access via SAGE</source><creator>Schuller, Dagmar M. ; Schuller, Björn W.</creator><creatorcontrib>Schuller, Dagmar M. ; Schuller, Björn W.</creatorcontrib><description>We provide a short review on the recent and near-future developments of computational processing of emotion in the voice, highlighting (a) self-learning of representations moving continuously away from traditional expert-crafted or brute-forced feature representations to end-to-end learning, (b) a movement towards the coupling of analysis and synthesis of emotional voices to foster better mutual understanding, (c) weakly supervised learning at a large scale, (d) transfer learning from related domains such as speech recognition or cross-modal transfer learning, and (e) reinforced learning through interactive applications at a large scale. For each of these trends, we shortly explain their implications and potential use such as for interpretation in psychological studies and usage in digital health and digital psychology applications. We also discuss further potential development.</description><identifier>ISSN: 1754-0739</identifier><identifier>EISSN: 1754-0747</identifier><identifier>DOI: 10.1177/1754073919898526</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><ispartof>Emotion Review, 2021-01, Vol.13 (1), p.44-50</ispartof><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c323t-6266ae7a6440e455f98a500ebd6ad5effcf934da1bdc413a5419d99566c36b7b3</citedby><cites>FETCH-LOGICAL-c323t-6266ae7a6440e455f98a500ebd6ad5effcf934da1bdc413a5419d99566c36b7b3</cites><orcidid>0000-0002-6478-8699</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/1754073919898526$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/1754073919898526$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids></links><search><creatorcontrib>Schuller, Dagmar M.</creatorcontrib><creatorcontrib>Schuller, Björn W.</creatorcontrib><title>A Review on Five Recent and Near-Future Developments in Computational Processing of Emotion in the Human Voice</title><title>Emotion Review</title><description>We provide a short review on the recent and near-future developments of computational processing of emotion in the voice, highlighting (a) self-learning of representations moving continuously away from traditional expert-crafted or brute-forced feature representations to end-to-end learning, (b) a movement towards the coupling of analysis and synthesis of emotional voices to foster better mutual understanding, (c) weakly supervised learning at a large scale, (d) transfer learning from related domains such as speech recognition or cross-modal transfer learning, and (e) reinforced learning through interactive applications at a large scale. For each of these trends, we shortly explain their implications and potential use such as for interpretation in psychological studies and usage in digital health and digital psychology applications. We also discuss further potential development.</description><issn>1754-0739</issn><issn>1754-0747</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1UF1LwzAUDaLgnL77mD9QTZqv5nHMzQlDRdTXkqY3s2NNRtJO_Pe2THwQfLrnno8L9yB0TckNpUrdUiU4UUxTXehC5PIETUYqI4qr01_M9Dm6SGlLiOQ50xPkZ_gFDg184uDxsjnAsFrwHTa-xo9gYrbsuz4CvoMD7MK-HbSEG4_nod33nema4M0OP8dgIaXGb3BweNGGkR9t3QfgVd8aj99DY-ESnTmzS3D1M6fobbl4na-y9dP9w3y2zizLWZfJXEoDykjOCXAhnC6MIASqWppagHPWacZrQ6vacsqM4FTXWgspLZOVqtgUkeNdG0NKEVy5j01r4ldJSTn2Vf7ta4hkx0gyGyi3oY_DY-l__zdfxmtp</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Schuller, Dagmar M.</creator><creator>Schuller, Björn W.</creator><general>SAGE Publications</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-6478-8699</orcidid></search><sort><creationdate>202101</creationdate><title>A Review on Five Recent and Near-Future Developments in Computational Processing of Emotion in the Human Voice</title><author>Schuller, Dagmar M. ; Schuller, Björn W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c323t-6266ae7a6440e455f98a500ebd6ad5effcf934da1bdc413a5419d99566c36b7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schuller, Dagmar M.</creatorcontrib><creatorcontrib>Schuller, Björn W.</creatorcontrib><collection>CrossRef</collection><jtitle>Emotion Review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schuller, Dagmar M.</au><au>Schuller, Björn W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Review on Five Recent and Near-Future Developments in Computational Processing of Emotion in the Human Voice</atitle><jtitle>Emotion Review</jtitle><date>2021-01</date><risdate>2021</risdate><volume>13</volume><issue>1</issue><spage>44</spage><epage>50</epage><pages>44-50</pages><issn>1754-0739</issn><eissn>1754-0747</eissn><abstract>We provide a short review on the recent and near-future developments of computational processing of emotion in the voice, highlighting (a) self-learning of representations moving continuously away from traditional expert-crafted or brute-forced feature representations to end-to-end learning, (b) a movement towards the coupling of analysis and synthesis of emotional voices to foster better mutual understanding, (c) weakly supervised learning at a large scale, (d) transfer learning from related domains such as speech recognition or cross-modal transfer learning, and (e) reinforced learning through interactive applications at a large scale. For each of these trends, we shortly explain their implications and potential use such as for interpretation in psychological studies and usage in digital health and digital psychology applications. We also discuss further potential development.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/1754073919898526</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-6478-8699</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1754-0739
ispartof Emotion Review, 2021-01, Vol.13 (1), p.44-50
issn 1754-0739
1754-0747
language eng
recordid cdi_crossref_primary_10_1177_1754073919898526
source Access via SAGE
title A Review on Five Recent and Near-Future Developments in Computational Processing of Emotion in the Human Voice
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T21%3A23%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-sage_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Review%20on%20Five%20Recent%20and%20Near-Future%20Developments%20in%20Computational%20Processing%20of%20Emotion%20in%20the%20Human%20Voice&rft.jtitle=Emotion%20Review&rft.au=Schuller,%20Dagmar%20M.&rft.date=2021-01&rft.volume=13&rft.issue=1&rft.spage=44&rft.epage=50&rft.pages=44-50&rft.issn=1754-0739&rft.eissn=1754-0747&rft_id=info:doi/10.1177/1754073919898526&rft_dat=%3Csage_cross%3E10.1177_1754073919898526%3C/sage_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_sage_id=10.1177_1754073919898526&rfr_iscdi=true