Automatic training generation method and system for smart home interaction test case
The invention provides an automatic training generation method and system for a smart home interaction test case, and belongs to the field of smart home testing. The method comprises a smart home description modeling step, an interaction environment factor and dialogue scene element determination st...
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| creator | GU ZIQIAN LIU ZECHAO LI HONGWEI QU ZONGFENG LI YUXIANG LIU DONGYANG JIAO LIMIN KANAWA |
| description | The invention provides an automatic training generation method and system for a smart home interaction test case, and belongs to the field of smart home testing. The method comprises a smart home description modeling step, an interaction environment factor and dialogue scene element determination step and a voice interaction test case automatic training generation step. According to the method, test cases can be generated on a large scale for various non-ideal environments such as noisy and interference in smart home reality application and complex scenes such as multi-round dialogues, the generated test cases are high in variability and simulation performance, the accuracy and effectiveness of smart home human-computer interaction voice testing are improved, and the test efficiency is improved. The method has a positive effect on improvement and optimization of intelligent household man-machine interaction.
本发明提供了一种智能家居交互测试用例的自动训练生成方法及系统，属于智能家居测试领域。所述方法包括：智能家居描述建模步骤、交互环境因素和对话场景要素确定步骤以及语音交互测试用例自动训练生成步骤。本发明能够针 |
| format | Patent |
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本发明提供了一种智能家居交互测试用例的自动训练生成方法及系统，属于智能家居测试领域。所述方法包括：智能家居描述建模步骤、交互环境因素和对话场景要素确定步骤以及语音交互测试用例自动训练生成步骤。本发明能够针</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</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=20240426&DB=EPODOC&CC=CN&NR=117932348A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240426&DB=EPODOC&CC=CN&NR=117932348A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GU ZIQIAN</creatorcontrib><creatorcontrib>LIU ZECHAO</creatorcontrib><creatorcontrib>LI HONGWEI</creatorcontrib><creatorcontrib>QU ZONGFENG</creatorcontrib><creatorcontrib>LI YUXIANG</creatorcontrib><creatorcontrib>LIU DONGYANG</creatorcontrib><creatorcontrib>JIAO LIMIN</creatorcontrib><creatorcontrib>KANAWA</creatorcontrib><title>Automatic training generation method and system for smart home interaction test case</title><description>The invention provides an automatic training generation method and system for a smart home interaction test case, and belongs to the field of smart home testing. The method comprises a smart home description modeling step, an interaction environment factor and dialogue scene element determination step and a voice interaction test case automatic training generation step. According to the method, test cases can be generated on a large scale for various non-ideal environments such as noisy and interference in smart home reality application and complex scenes such as multi-round dialogues, the generated test cases are high in variability and simulation performance, the accuracy and effectiveness of smart home human-computer interaction voice testing are improved, and the test efficiency is improved. The method has a positive effect on improvement and optimization of intelligent household man-machine interaction.
本发明提供了一种智能家居交互测试用例的自动训练生成方法及系统，属于智能家居测试领域。所述方法包括：智能家居描述建模步骤、交互环境因素和对话场景要素确定步骤以及语音交互测试用例自动训练生成步骤。本发明能够针</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzTEKwkAQheFtLES9w3gAi7iCWoagWFmlD8NmkixkZ8LOWHh7F_EAVg9-Pnhr19Yvk4QWA1jGyJFHGIkplyQMiWySHpB70LcaJRgkgybMBpMkgshWbPhiIzUIqLR1qwFnpd1vN25_v7XN40CLdKQLhvJgXfOsqvPVH_3pUvt_zAfZHDlC</recordid><startdate>20240426</startdate><enddate>20240426</enddate><creator>GU ZIQIAN</creator><creator>LIU ZECHAO</creator><creator>LI HONGWEI</creator><creator>QU ZONGFENG</creator><creator>LI YUXIANG</creator><creator>LIU DONGYANG</creator><creator>JIAO LIMIN</creator><creator>KANAWA</creator><scope>EVB</scope></search><sort><creationdate>20240426</creationdate><title>Automatic training generation method and system for smart home interaction test case</title><author>GU ZIQIAN ; LIU ZECHAO ; LI HONGWEI ; QU ZONGFENG ; LI YUXIANG ; LIU DONGYANG ; JIAO LIMIN ; KANAWA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117932348A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>GU ZIQIAN</creatorcontrib><creatorcontrib>LIU ZECHAO</creatorcontrib><creatorcontrib>LI HONGWEI</creatorcontrib><creatorcontrib>QU ZONGFENG</creatorcontrib><creatorcontrib>LI YUXIANG</creatorcontrib><creatorcontrib>LIU DONGYANG</creatorcontrib><creatorcontrib>JIAO LIMIN</creatorcontrib><creatorcontrib>KANAWA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GU ZIQIAN</au><au>LIU ZECHAO</au><au>LI HONGWEI</au><au>QU ZONGFENG</au><au>LI YUXIANG</au><au>LIU DONGYANG</au><au>JIAO LIMIN</au><au>KANAWA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Automatic training generation method and system for smart home interaction test case</title><date>2024-04-26</date><risdate>2024</risdate><abstract>The invention provides an automatic training generation method and system for a smart home interaction test case, and belongs to the field of smart home testing. The method comprises a smart home description modeling step, an interaction environment factor and dialogue scene element determination step and a voice interaction test case automatic training generation step. According to the method, test cases can be generated on a large scale for various non-ideal environments such as noisy and interference in smart home reality application and complex scenes such as multi-round dialogues, the generated test cases are high in variability and simulation performance, the accuracy and effectiveness of smart home human-computer interaction voice testing are improved, and the test efficiency is improved. The method has a positive effect on improvement and optimization of intelligent household man-machine interaction.
本发明提供了一种智能家居交互测试用例的自动训练生成方法及系统，属于智能家居测试领域。所述方法包括：智能家居描述建模步骤、交互环境因素和对话场景要素确定步骤以及语音交互测试用例自动训练生成步骤。本发明能够针</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Automatic training generation method and system for smart home interaction test case |
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