{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/elirf-at-mediaeval-2014-query-by-example","title":"ELiRF at MediaEval 2014: Query by Example Search on Speech Task (QUESST)","arxiv_id":null,"date":"2014-10-16","proceeding":null,"authors":["Marcos Calvo","Mayte Giménez","Lluís-F. Hurtado","Emilio Sanchis","Jon A. Gómez"],"abstract":"In this paper, we present the systems that the Natural Language Engineering and Pattern Recognition group (ELiRF) has submitted to the MediaEval 2014 Query by Example Search on Speech task. All of them are based on a Subsequence Dynamic Time Warping algorithm and do not use any other information from outside the task (zero-resources systems).","url_abs":"http://ceur-ws.org/Vol-1263/mediaeval2014_submission_43.pdf","url_pdf":"http://ceur-ws.org/Vol-1263/mediaeval2014_submission_43.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"dynamic-time-warping","task_name":"Dynamic Time Warping"},{"task_slug":"keyword-spotting","task_name":"Keyword Spotting"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/keyword-spotting-on-quesst","task":"Keyword Spotting","dataset":"QUESST","model":"ELiRF Fusion+Length(All Queries)","rank_in_archive_order":1,"of":69,"metrics":{"ATWV":"0.3792","Cnxe":"0.6023","MTWV":"0.3801","MinCnxe":"0.5977"},"uses_additional_data":false},{"leaderboard":"/sota/keyword-spotting-on-quesst","task":"Keyword Spotting","dataset":"QUESST","model":"ELiRF Fusion(All Queries)","rank_in_archive_order":2,"of":69,"metrics":{"ATWV":"0.3896","Cnxe":"0.6125","MTWV":"0.3952","MinCnxe":"0.6062"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}