{"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/a-time-scale-modification-dataset-with","title":"A time-scale modification dataset with subjective quality labels","arxiv_id":"2006.00848","date":"2020-07-16","proceeding":null,"authors":[],"abstract":"Time Scale Modification (TSM) is a well-researched field; however, no\neffective objective measure of quality exists. This paper details the creation,\nsubjective evaluation, and analysis of a dataset for use in the development of\nan objective measure of quality for TSM. Comprised of two parts, the training\ncomponent contains 88 source files processed using six TSM methods at 10 time\nscales, while the testing component contains 20 source files processed using\nthree additional methods at four time scales. The source material contains\nspeech, solo harmonic and percussive instruments, sound effects, and a range of\nmusic genres. Ratings (42 529) were collected from 633 sessions using\nlaboratory and remote collection methods. Analysis of results shows no\ncorrelation between age and quality of rating; expert and non-expert listeners\nto be equivalent; minor differences between participants with and without\nhearing issues; and minimal differences between testing modalities. A\ncomparison of published objective measures and subjective scores shows the\nobjective measures to be poor indicators of subjective quality. Initial results\nfor a retrained objective measure of quality are presented with results\napproaching average root mean squared error loss and Pearson correlation values\nof subjective sessions. The labeled dataset is available at\nhttp://ieee-dataport.org/1987.","url_abs":"http://arxiv.org/abs/2006.00848v2","url_pdf":"http://arxiv.org/pdf/2006.00848v2.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":[{"paper_slug":"a-time-scale-modification-dataset-with","repo_url":"https://github.com/zygurt/TSM","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"a-time-scale-modification-dataset-with","repo_url":"https://github.com/yangyucheng000/MSpaper/tree/main/tsm","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}