{"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-spl-it-query-by-example-search-on-speech","title":"The SPL-IT Query by Example Search on Speech system for MediaEval 2014","arxiv_id":null,"date":"2014-10-16","proceeding":null,"authors":["Jorge Proença","Arlindo Veiga","Fernando Perdigão"],"abstract":"This document briefly describes the system submitted by the Speech Processing Lab of Instituto de Telecomunicações, pole of  Coimbra (SPL-IT) to the Query by Example Search on Speech Task (QUESST) of MediaEval 2014. Our approach is based on merging results of a phoneme recognition system using three different languages. A version of Dynamic Time Warping (DTW) using posteriorgram distances was created to allow finding some of the peculiar search cases of this task. Our primary submission merges two approaches: simple DTW for detecting entire queries and a version where cutting final portions of queries is allowed. The late submission merges 5 approaches that account for all the search possibilities described for the task, though improved results were only observed in the evaluation dataset for type 3 queries.","url_abs":"https://www.semanticscholar.org/paper/The-SPL-IT-Query-by-Example-Search-on-Speech-system-Proen%C3%A7a-Veiga/585adf71147015b4fbb4167758d3f18e33e50fdd","url_pdf":"http://ceur-ws.org/Vol-1263/mediaeval2014_submission_74.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"},{"task_slug":"phoneme-recognition","task_name":"Phoneme Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/keyword-spotting-on-quesst","task":"Keyword Spotting","dataset":"QUESST","model":"SPL-IT(for the development set)","rank_in_archive_order":7,"of":69,"metrics":{"ATWV":"0.4051","Cnxe":"0.7106","MTWV":"0.4052","MinCnxe":"0.5881"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}