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Hybrid CNN–LSTM deep learning for Telugu dialect identification using a curated speech corpus

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Bibliographic Details
Published in:International Journal of Speech Technology
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Speech Technology
description
discipline_display Arts & Humanities
discipline_facet Arts & Humanities
format Online Article
RSS Article
genre Journal Article
id rss_article:25338
institution FRELIP
journal_source_facet International Journal of Speech Technology
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Hybrid CNN–LSTM deep learning for Telugu dialect identification using a curated speech corpus
— — — — — Linguistics and Philology
Language & Literature
Arts & Humanities
sub_discipline_display Language & Literature
sub_discipline_facet Language & Literature
subject_display — — — — — Linguistics and Philology
Language & Literature
Arts & Humanities
— — — — — Linguistics and Philology
Language & Literature
Arts & Humanities
subject_facet — — — — — Linguistics and Philology
Language & Literature
Arts & Humanities
title Hybrid CNN–LSTM deep learning for Telugu dialect identification using a curated speech corpus
title_auth Hybrid CNN–LSTM deep learning for Telugu dialect identification using a curated speech corpus
title_full Hybrid CNN–LSTM deep learning for Telugu dialect identification using a curated speech corpus
title_fullStr Hybrid CNN–LSTM deep learning for Telugu dialect identification using a curated speech corpus
title_full_unstemmed Hybrid CNN–LSTM deep learning for Telugu dialect identification using a curated speech corpus
title_short Hybrid CNN–LSTM deep learning for Telugu dialect identification using a curated speech corpus
title_sort hybrid cnn–lstm deep learning for telugu dialect identification using a curated speech corpus
topic — — — — — Linguistics and Philology
Language & Literature
Arts & Humanities
url https://link.springer.com/article/10.1007/s10772-025-10249-2