{"id":43995,"date":"2012-03-30T10:06:00","date_gmt":"2012-03-30T14:06:00","guid":{"rendered":"https:\/\/www.sri.com\/?p=43995"},"modified":"2022-08-10T10:09:40","modified_gmt":"2022-08-10T14:09:40","slug":"ivector-based-prosodic-system-for-language-identification","status":"publish","type":"post","link":"https:\/\/www.sri.com\/ja\/uncategorized\/ivector-based-prosodic-system-for-language-identification\/","title":{"rendered":"IVECTOR-BASED PROSODIC SYSTEM FOR LANGUAGE IDENTIFICATION"},"content":{"rendered":"<div class=\"citation__outer\">\n    <p class=\"citation__title has-large-font-size\">Citation<\/p>\n    <button class=\"citation__copy-btn has-small-font-size has-neue-machina-plain-font-family\" disabled>\n        <span class=\"dashicons dashicons-admin-page\"><\/span>\n        <span class=\"citation__copy-btn-hint\">Copy<\/span>\n    <\/button>\n    <p class=\"citation__text\">D. Mart\u00ednez, L. Burget, L. Ferrer and N. Scheffer, &#8220;iVector-based prosodic system for language identification,&#8221; 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, pp. 4861-4864, doi: 10.1109\/ICASSP.2012.6289008.<\/p>\n<\/div>\n\t\t<style>.citation__outer {\n    --clr--black: var(--wp--preset--color--contrast, #000);\n    --clr--white: var(--wp--preset--color--base, #fff);\n    --clr--lightgrey: var(--wp--preset--color--off-white-100, lightgrey);\n    --clr--grey: #888;\n    \n    margin-block: 1.5rem;\n    max-width: 600px !important;\n    border: 1px solid var(--clr--black);\n    padding: 1.5rem;\n\n    display: grid;\n    grid-template-areas:\n        \"title btn _\"\n        \"text text text\";\n    grid-template-columns: auto auto 1fr;\n    grid-template-rows: auto 1fr;\n    column-gap: 2.0rem;\n    row-gap: 1.0rem;\n}\n\n.citation__title,\n.citation__copy-btn,\n.citation__text {\n    margin: 0;\n}\n\n.citation__title {\n    grid-area: title;\n}\n\n.citation__copy-btn {\n    grid-area: btn;\n    border: none;\n    outline: none;\n    padding-top: 0.4rem;\n    padding-bottom: 0.2rem;\n\n    text-align: center;\n    text-transform: uppercase;\n    color: var(--clr--black);\n    background-color: transparent;\n}\n\n.citation__copy-btn .citation__copy-btn-text {\n    line-height: 1.4;\n}\n\n.citation__copy-btn:hover {\n    color: var(--clr--white);\n    background-color: var(--clr--black);\n}\n\n.citation__copy-btn[disabled],\n.citation__copy-btn[disabled]:hover {\n    color: var(--clr--grey);\n    background-color: transparent;\n}\n\n.citation__text {\n    grid-area: text;\n    border-top: 1px solid var(--clr--grey);\n    padding-top: 1rem;\n}<\/style>\n\t\t\n\n\n<h2 class=\"wp-block-heading\">Abstract<\/h2>\n\n\n\n<p>Prosody is the part of speech where rhythm, stress, and intonation are reflected. In language identification tasks, these<br>characteristics are assumed to be language dependent, and<br>thus the language can be identified from them. In this paper, an automatic language recognition system that extracts<br>prosody information from speech and makes decisions about<br>the language with a generative classifier based on iVectors is<br>built. The system is tested on the NIST LRE09 dataset. The<br>results are still not comparable to state-of-the-art acoustic and<br>phonotactic systems. However, they are promising and the fusion of the new approach with an iVector-based acoustic system is found to bring further improvements over the latter.<\/p>\n\n\n<div class=\"publication-attachment-block\">\n    <a id=\"\" href=\"https:\/\/www.sri.com\/wp-content\/uploads\/2021\/12\/ivector-based_prosodic_system_for_language_identification.pdf\" target=\"_blank\">\n        <p>\u2193<strong> Download PDF<\/strong><\/p>\n    <\/a>\n<\/div>\n\t\t<style>.publication-attachment-block{display:block;}<\/style>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Abstract Prosody is the part of speech where rhythm, stress, and intonation are reflected. In language identif [&hellip;]<\/p>\n","protected":false},"author":63,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_yoast_wpseo_primary_category":740,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[740],"tags":[],"ppma_author":[828],"class_list":["post-43995","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>IVECTOR-BASED PROSODIC SYSTEM FOR LANGUAGE IDENTIFICATION - SRI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.sri.com\/ja\/uncategorized\/ivector-based-prosodic-system-for-language-identification\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IVECTOR-BASED PROSODIC SYSTEM FOR LANGUAGE IDENTIFICATION - SRI\" \/>\n<meta property=\"og:description\" content=\"Abstract Prosody is the part of speech where rhythm, stress, and intonation are reflected. In language identif [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.sri.com\/ja\/uncategorized\/ivector-based-prosodic-system-for-language-identification\/\" \/>\n<meta property=\"og:site_name\" content=\"SRI\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/sri.intl\" \/>\n<meta property=\"article:published_time\" content=\"2012-03-30T14:06:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-08-10T14:09:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.sri.com\/wp-content\/uploads\/2023\/12\/SRI-logo-fallback-banner-white-1200x675-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"675\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"SRI International\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@SRI_Intl\" \/>\n<meta name=\"twitter:site\" content=\"@SRI_Intl\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"SRI International\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.sri.com\\\/ja\\\/uncategorized\\\/ivector-based-prosodic-system-for-language-identification\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.sri.com\\\/ja\\\/uncategorized\\\/ivector-based-prosodic-system-for-language-identification\\\/\"},\"author\":{\"name\":\"SRI International\",\"@id\":\"https:\\\/\\\/www.sri.com\\\/#\\\/schema\\\/person\\\/6082cc7c40e3cd50e1c1d73d18dc2754\"},\"headline\":\"IVECTOR-BASED PROSODIC SYSTEM FOR LANGUAGE IDENTIFICATION\",\"datePublished\":\"2012-03-30T14:06:00+00:00\",\"dateModified\":\"2022-08-10T14:09:40+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.sri.com\\\/ja\\\/uncategorized\\\/ivector-based-prosodic-system-for-language-identification\\\/\"},\"wordCount\":109,\"publisher\":{\"@id\":\"https:\\\/\\\/www.sri.com\\\/#organization\"},\"articleSection\":[\"\u30ab\u30c6\u30b4\u30ea\u30fc\u306a\u3057\"],\"inLanguage\":\"ja\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.sri.com\\\/ja\\\/uncategorized\\\/ivector-based-prosodic-system-for-language-identification\\\/\",\"url\":\"https:\\\/\\\/www.sri.com\\\/ja\\\/uncategorized\\\/ivector-based-prosodic-system-for-language-identification\\\/\",\"name\":\"IVECTOR-BASED PROSODIC SYSTEM FOR LANGUAGE IDENTIFICATION - 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