{"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/ntu-system-at-mediaeval-2015-zero-resource","title":"NTU System at MediaEval 2015: Zero Resource Query by Example Spoken Term Detection Using Deep and Recurrent Neural Networks","arxiv_id":null,"date":"2015-09-14","proceeding":"MediaEval 2015 Workshop 2015 9","authors":["Cheng-Tao Chung","Yang-De Chen"],"abstract":"This note serves as a documentation describing the methods the authors of this paper implemented for the Query by Example Search on Speech Task (QUESST) as a part of MediaEval 2015. In this work, we combined DTW, DNN and RNN in one framework to perform query by example spoken term detection in a zero resource setting.","url_abs":"http://ceur-ws.org/Vol-1436/Paper74.pdf","url_pdf":"http://ceur-ws.org/Vol-1436/Paper74.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":"NTU dtw (dev)","rank_in_archive_order":58,"of":69,"metrics":{"Cnxe":"2.0066"},"uses_additional_data":false},{"leaderboard":"/sota/keyword-spotting-on-quesst","task":"Keyword Spotting","dataset":"QUESST","model":"NTU rnn (dev)","rank_in_archive_order":59,"of":69,"metrics":{"Cnxe":"2.0066"},"uses_additional_data":false},{"leaderboard":"/sota/keyword-spotting-on-quesst","task":"Keyword Spotting","dataset":"QUESST","model":"NTU dtw (eval)","rank_in_archive_order":60,"of":69,"metrics":{"Cnxe":"2.0067"},"uses_additional_data":false},{"leaderboard":"/sota/keyword-spotting-on-quesst","task":"Keyword Spotting","dataset":"QUESST","model":"NTU rnn (eval)","rank_in_archive_order":61,"of":69,"metrics":{"Cnxe":"2.0067"},"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}