{"id":6521,"date":"2025-09-10T15:10:45","date_gmt":"2025-09-10T15:10:45","guid":{"rendered":"https:\/\/techtrendfeed.com\/?p=6521"},"modified":"2025-09-10T15:10:45","modified_gmt":"2025-09-10T15:10:45","slug":"pitch-accent-detection-improves-pretrained-computerized-speech-recognition","status":"publish","type":"post","link":"https:\/\/techtrendfeed.com\/?p=6521","title":{"rendered":"Pitch Accent Detection Improves Pretrained Computerized Speech Recognition"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>We present the efficiency of Computerized Speech Recognition (ASR) techniques that use semi-supervised speech representations could be boosted by a complimentary pitch accent detection module, by introducing a joint ASR and pitch accent detection mannequin. The pitch accent detection part of our mannequin achieves a big enchancment on the state-of-the-art for the duty, closing the hole in F1-score by 41%. Moreover, the ASR efficiency in joint coaching decreases WER by 28.3% on LibriSpeech, underneath restricted useful resource fine-tuning. With these outcomes, we present the significance of extending pretrained speech fashions to retain or re-learn vital prosodic cues similar to pitch accent.<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>We present the efficiency of Computerized Speech Recognition (ASR) techniques that use semi-supervised speech representations could be boosted by a complimentary pitch accent detection module, by introducing a joint ASR and pitch accent detection mannequin. The pitch accent detection part of our mannequin achieves a big enchancment on the state-of-the-art for the duty, closing the [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":6523,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[2510,5272,703,5270,5269,5271,2359,1233],"class_list":["post-6521","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-accent","tag-automatic","tag-detection","tag-improves","tag-pitch","tag-pretrained","tag-recognition","tag-speech"],"_links":{"self":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/6521","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6521"}],"version-history":[{"count":1,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/6521\/revisions"}],"predecessor-version":[{"id":6522,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/6521\/revisions\/6522"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/media\/6523"}],"wp:attachment":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6521"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6521"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6521"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<!-- This website is optimized by Airlift. Learn more: https://airlift.net. Template:. Learn more: https://airlift.net. Template: 69d9690a190636c2e0989534. Config Timestamp: 2026-04-10 21:18:02 UTC, Cached Timestamp: 2026-05-15 01:33:25 UTC -->