{"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/the-iit-b-query-by-example-system-for","title":"The IIT-B Query-by-Example System for MediaEval 2015","arxiv_id":null,"date":"2015-09-14","proceeding":"MediaEval 2015 Workshop 2015 9","authors":["Hitesh Tulsiani","Preeti Rao"],"abstract":"This paper describes the system developed at I.I.T. Bombay for Query-by-Example Search on Speech Task (QUESST) within the MediaEval 2015 evaluation framework. Our system preprocesses the data to remove noise and performs subsequence DTW on posterior/bottleneck features obtained using four phone recognition systems to detect the queries. Scores from each of these subsystems are fused to get the single score per query-utterance pair which is then calibrated with respect to the cross entropy evaluation metric.","url_abs":"http://ceur-ws.org/Vol-1436/Paper34.pdf","url_pdf":"http://ceur-ws.org/Vol-1436/Paper34.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":"keyword-spotting","task_name":"Keyword Spotting"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/keyword-spotting-on-quesst","task":"Keyword Spotting","dataset":"QUESST","model":"IIT-B (dev)","rank_in_archive_order":33,"of":69,"metrics":{"ATWV":"0.0812","Cnxe":"0.9213","MTWV":"0.816","MinCnxe":"0.9082"},"uses_additional_data":false},{"leaderboard":"/sota/keyword-spotting-on-quesst","task":"Keyword Spotting","dataset":"QUESST","model":"IIT-B (eval)","rank_in_archive_order":35,"of":69,"metrics":{"ATWV":"0.0254","Cnxe":"0.9536","MTWV":"0.0421","MinCnxe":"0.9364"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}