{"id":7025,"date":"2022-08-12T02:05:48","date_gmt":"2022-08-12T00:05:48","guid":{"rendered":"https:\/\/www.ilc.cnr.it\/progetti\/savas\/"},"modified":"2022-08-12T02:05:48","modified_gmt":"2022-08-12T00:05:48","slug":"savas","status":"publish","type":"progetti","link":"https:\/\/www.ilc.cnr.it\/en\/progetti\/savas\/","title":{"rendered":"SAVAS"},"content":{"rendered":"

The SAVAS project collected spoken and textual resources in six European languages and built domain-specific Large Vocabulary Continuous Speech Recognizers (LVCSR) to solve the automated subtitling needs of the Media Industry.<\/p>\n

More specifically, the main objectives of the project were:<\/p>\n

    \n
  1. to make more effective the acquisition and annotation of audiovisual language resources produced by broadcasters and subtitling companies for the development of LVCSR systems targeting automated subtitling;<\/span><\/li>\n
  2. to deploy a platform to share audiovisual language resources between the media industry and the LVCSR developers through the most suitable legal and business data trading approaches within the Media Industry;<\/span><\/li>\n
  3. to show the impact of feeding LVCSR technology with existing audiovisual language resources for automated subtitling purposes.<\/span><\/li>\n<\/ol>\n

    In order to achieve these goals, SAVAS:<\/p>\n

      \n
    • collected spoken and textual resources in the languages addressed from the broadcasters and subtitling companies acting as data providers within the consortium;<\/span><\/li>\n
    • transcribed and annotated the collected corpora into a form suitable to train acoustic and language models of LVCSR systems using a combination of automatic and collaborative approaches;<\/span><\/li>\n
    • built a local META-SHARE repository containing the collected and annotated SAVAS language resources to allow their reuse;<\/span><\/li>\n
    • adapted and trained dictation and transcription LVCSR systems with the SAVAS language resources;<\/span><\/li>\n
    • integrated and evaluated the developed systems into several automated subtitling application scenarios in order to show the impact of audiovisual data sharing for automated subtitling.<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

      The SAVAS project collected spoken and textual resources in six European languages and built domain-specific Large Vocabulary Continuous Speech Recognizers…<\/p>\n","protected":false},"author":1,"featured_media":7023,"template":"","tag-sottositi":[],"acf":{"type_of_project":"1","acronym":"SAVAS","title":"Sharing AudioVisual language resources for Automatic Subtitling","funding_body":"European Commission","funding_programme":"7th Framework Programme","grant_agreement":"FP7-ICT-2011-SME-DCL-296371","start_date":"20120501","end_date":"20140430","role":false,"project_coordinator":"","project_chair":[{"person":"Carlo Aliprandi (SyNTHEMA S.r.l.)"}],"ilc_research_un":[{"person":"Monica Monachini"}],"programme_coord":"","contact_person":"","staff":[{"person":"Paola Baroni"},{"person":"Francesca Frontini"}],"documentation":null,"websites":[{"website":"http:\/\/www.fp7-savas.eu"}],"nid":"273","lang":"en","tnid":"273"},"fimg_url":"https:\/\/www.ilc.cnr.it\/wp-content\/uploads\/2022\/08\/SAVAS_Logo.png","jetpack_sharing_enabled":true,"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.ilc.cnr.it\/en\/wp-json\/wp\/v2\/progetti\/7025"}],"collection":[{"href":"https:\/\/www.ilc.cnr.it\/en\/wp-json\/wp\/v2\/progetti"}],"about":[{"href":"https:\/\/www.ilc.cnr.it\/en\/wp-json\/wp\/v2\/types\/progetti"}],"author":[{"embeddable":true,"href":"https:\/\/www.ilc.cnr.it\/en\/wp-json\/wp\/v2\/users\/1"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ilc.cnr.it\/en\/wp-json\/wp\/v2\/media\/7023"}],"wp:attachment":[{"href":"https:\/\/www.ilc.cnr.it\/en\/wp-json\/wp\/v2\/media?parent=7025"}],"wp:term":[{"taxonomy":"tag-sottositi","embeddable":true,"href":"https:\/\/www.ilc.cnr.it\/en\/wp-json\/wp\/v2\/tag-sottositi?post=7025"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}