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On the effectiveness of self-supervised pre-trained models for Persian traditional music information retrieval

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Bibliographic Details
Published in:EURASIP Journal on Audio, Speech, and Music Processing
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title EURASIP Journal on Audio, Speech, and Music Processing
description
discipline_display Arts & Humanities
discipline_facet Arts & Humanities
format Online Article
RSS Article
genre Journal Article
id rss_article:22605
institution FRELIP
journal_source_facet EURASIP Journal on Audio, Speech, and Music Processing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle On the effectiveness of self-supervised pre-trained models for Persian traditional music information retrieval
— — — — — Radio and TV
Communication & Media
Arts & Humanities
sub_discipline_display Communication & Media
sub_discipline_facet Communication & Media
subject_display — — — — — Radio and TV
Communication & Media
Arts & Humanities
— — — — — Radio and TV
Communication & Media
Arts & Humanities
subject_facet — — — — — Radio and TV
Communication & Media
Arts & Humanities
title On the effectiveness of self-supervised pre-trained models for Persian traditional music information retrieval
title_auth On the effectiveness of self-supervised pre-trained models for Persian traditional music information retrieval
title_full On the effectiveness of self-supervised pre-trained models for Persian traditional music information retrieval
title_fullStr On the effectiveness of self-supervised pre-trained models for Persian traditional music information retrieval
title_full_unstemmed On the effectiveness of self-supervised pre-trained models for Persian traditional music information retrieval
title_short On the effectiveness of self-supervised pre-trained models for Persian traditional music information retrieval
title_sort on the effectiveness of self-supervised pre-trained models for persian traditional music information retrieval
topic — — — — — Radio and TV
Communication & Media
Arts & Humanities
url https://link.springer.com/article/10.1186/s13636-025-00440-3