Robo Sapiens
This paper proposes a new method of natural language acquisition for robots that does not require the conversion of speech to text. Folks'Talks employs voice2voice technology that enables a robot to understand the meaning of what it is told and to have the ability to learn and understand new la...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Artikel |
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 | Ash, Chaim Hans, Amelia |
description | This paper proposes a new method of natural language acquisition for robots
that does not require the conversion of speech to text. Folks'Talks employs
voice2voice technology that enables a robot to understand the meaning of what
it is told and to have the ability to learn and understand new languages -
inclusive of accent, dialect, and physiological differences. To do this, sound
processing and computer vision are incorporated to give the robot a sense of
spatiotemporal causality. The "language model" we are proposing equips a robot
to imitate a natural speaker's conversational behavior by thinking contextually
and articulating its surroundings. |
doi_str_mv | 10.48550/arxiv.2310.08323 |
format | Article |
fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2310_08323</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2310_08323</sourcerecordid><originalsourceid>FETCH-LOGICAL-a673-901b07edf8e07c9b3181cc657d8be5a90a559b2a6bfb5f54460e2eaafd2486293</originalsourceid><addsrcrecordid>eNotzs0KgkAUhuHZtAjtAlrVDWjHmTnzswzpD4Kg3MsZnQGhUhSi7r6yVh-8i4-HsXkGqTSIsKL-2TxSLj4BjOBiyuJz69rlhbrG34eYTQJdBz_7b8SK7abI98nxtDvk62NCSovEQuZA-zoYD7qyTmQmqyqFujbOI1kgROs4KRccBpRSgeeeKNRcGsWtiNjidztyyq5vbtS_yi-rHFniDWLlMGo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Robo Sapiens</title><source>arXiv.org</source><creator>Ash, Chaim ; Hans, Amelia</creator><creatorcontrib>Ash, Chaim ; Hans, Amelia</creatorcontrib><description>This paper proposes a new method of natural language acquisition for robots
that does not require the conversion of speech to text. Folks'Talks employs
voice2voice technology that enables a robot to understand the meaning of what
it is told and to have the ability to learn and understand new languages -
inclusive of accent, dialect, and physiological differences. To do this, sound
processing and computer vision are incorporated to give the robot a sense of
spatiotemporal causality. The "language model" we are proposing equips a robot
to imitate a natural speaker's conversational behavior by thinking contextually
and articulating its surroundings.</description><identifier>DOI: 10.48550/arxiv.2310.08323</identifier><language>eng</language><subject>Computer Science - Other Computer Science</subject><creationdate>2023-06</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2310.08323$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2310.08323$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Ash, Chaim</creatorcontrib><creatorcontrib>Hans, Amelia</creatorcontrib><title>Robo Sapiens</title><description>This paper proposes a new method of natural language acquisition for robots
that does not require the conversion of speech to text. Folks'Talks employs
voice2voice technology that enables a robot to understand the meaning of what
it is told and to have the ability to learn and understand new languages -
inclusive of accent, dialect, and physiological differences. To do this, sound
processing and computer vision are incorporated to give the robot a sense of
spatiotemporal causality. The "language model" we are proposing equips a robot
to imitate a natural speaker's conversational behavior by thinking contextually
and articulating its surroundings.</description><subject>Computer Science - Other Computer Science</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzs0KgkAUhuHZtAjtAlrVDWjHmTnzswzpD4Kg3MsZnQGhUhSi7r6yVh-8i4-HsXkGqTSIsKL-2TxSLj4BjOBiyuJz69rlhbrG34eYTQJdBz_7b8SK7abI98nxtDvk62NCSovEQuZA-zoYD7qyTmQmqyqFujbOI1kgROs4KRccBpRSgeeeKNRcGsWtiNjidztyyq5vbtS_yi-rHFniDWLlMGo</recordid><startdate>20230605</startdate><enddate>20230605</enddate><creator>Ash, Chaim</creator><creator>Hans, Amelia</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20230605</creationdate><title>Robo Sapiens</title><author>Ash, Chaim ; Hans, Amelia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a673-901b07edf8e07c9b3181cc657d8be5a90a559b2a6bfb5f54460e2eaafd2486293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer Science - Other Computer Science</topic><toplevel>online_resources</toplevel><creatorcontrib>Ash, Chaim</creatorcontrib><creatorcontrib>Hans, Amelia</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ash, Chaim</au><au>Hans, Amelia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robo Sapiens</atitle><date>2023-06-05</date><risdate>2023</risdate><abstract>This paper proposes a new method of natural language acquisition for robots
that does not require the conversion of speech to text. Folks'Talks employs
voice2voice technology that enables a robot to understand the meaning of what
it is told and to have the ability to learn and understand new languages -
inclusive of accent, dialect, and physiological differences. To do this, sound
processing and computer vision are incorporated to give the robot a sense of
spatiotemporal causality. The "language model" we are proposing equips a robot
to imitate a natural speaker's conversational behavior by thinking contextually
and articulating its surroundings.</abstract><doi>10.48550/arxiv.2310.08323</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | DOI: 10.48550/arxiv.2310.08323 |
ispartof | |
issn | |
language | eng |
recordid | cdi_arxiv_primary_2310_08323 |
source | arXiv.org |
subjects | Computer Science - Other Computer Science |
title | Robo Sapiens |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T04%3A16%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Robo%20Sapiens&rft.au=Ash,%20Chaim&rft.date=2023-06-05&rft_id=info:doi/10.48550/arxiv.2310.08323&rft_dat=%3Carxiv_GOX%3E2310_08323%3C/arxiv_GOX%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 |