{"id":6596,"date":"2025-05-02T05:10:00","date_gmt":"2025-05-01T20:10:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=6596"},"modified":"2025-05-02T05:10:00","modified_gmt":"2025-05-01T20:10:00","slug":"on-the-landscape-of-spoken-language-models-a-comprehensive-survey","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=6596","title":{"rendered":"On The Landscape of Spoken Language Models: A Comprehensive Survey"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>On The Landscape of Spoken Language Models: A Comprehensive Survey\u00a0<\/strong>[144.1]<br>\u97f3\u58f0\u8a00\u8a9e\u30e2\u30c7\u30eb(SLM)\u306f\u3001\u666e\u904d\u7684\u306a\u97f3\u58f0\u51e6\u7406\u30b7\u30b9\u30c6\u30e0\u3068\u3057\u3066\u6a5f\u80fd\u3059\u308b\u3002 \u3053\u306e\u9818\u57df\u3067\u306e\u4f5c\u696d\u306f\u975e\u5e38\u306b\u591a\u69d8\u3067\u3042\u308a\u3001\u69d8\u3005\u306a\u7528\u8a9e\u3068\u8a55\u4fa1\u8a2d\u5b9a\u304c\u3042\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2504.08528v1\">\u8ad6\u6587<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2504.08528v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>\u00a0 \u00a0(Fri, 11 Apr 2025 13:40:53 GMT)<\/li>\n\n\n\n<li>\u300cIn the last few years, the field of natural language processing (NLP) has evolved from (1) training many task-specific models from scratch, to (2) combining pre-trained multi-purpose contextual representation models (such as BERT (Devlin et al , 2019)) with a small number of task-specific parameters, to (3) training generative universal, large language models (LLMs (Brown et al , 2020; OpenAI et al , 2024)1) that perform arbitrary text tasks given natural language instructions (prompts) and can generalize to unseen domains and tasks (Wei et al , 2022a; Liu et al , 2023), and finally to (4) dialogue \/ chatbot systems that function as assistants and perform tasks while directly interacting with the user.\u300d\u3001\u300cThe field of speech processing has been undergoing a similar evolution, although with some lag, and has mainly focussed on stages (1) and (2).\u300d\u304b\u3089\u59cb\u307e\u308bspoken language models (SLMs)\u00a0\u306e\u30b5\u30fc\u30d9\u30a4\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[387,668],"class_list":["post-6596","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-survey","tag-668"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/6596","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6596"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/6596\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6596"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6596"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}