{"id":3240,"date":"2026-07-24T14:43:50","date_gmt":"2026-07-24T21:43:50","guid":{"rendered":"https:\/\/sonix.ai\/resources\/?p=3240"},"modified":"2026-08-05T23:04:10","modified_gmt":"2026-08-06T06:04:10","slug":"talerdiarisering","status":"publish","type":"post","link":"https:\/\/sonix.ai\/resources\/da\/speaker-diarization\/","title":{"rendered":"Hvad er talerdiarisering?"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><a href=\"https:\/\/lajavaness.medium.com\/speaker-diarization-an-introductory-overview-c070a3bfea70\">Dagbog for talere<\/a> er en AI-baseret proces, der automatisk identificerer og m\u00e6rker forskellige talere i lyd- eller videooptagelser og dermed besvarer det grundl\u00e6ggende sp\u00f8rgsm\u00e5l: \u201cHvem talte hvorn\u00e5r?\u201d Ved at analysere stemmekarakteristika som toneh\u00f8jde, klangfarve og talem\u00f8nstre omdanner diarization optagelser med flere talere til strukturerede transskriptioner, hvor hvert segment tilskrives en bestemt taler \u2014 og forvandler ubrugelige tekstmasser til s\u00f8gbare, velorganiserede dokumenter.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>S\u00e5dan fungerer diarisering af talere<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">T\u00e6nk p\u00e5 talerdiarisering som den m\u00e5de, du genkender stemmer p\u00e5 til en middagsselskab \u2014 selv med lukkede \u00f8jne kan du h\u00f8re, hvem der taler, ud fra deres unikke stemmeegenskaber. AI-systemer g\u00f8r dette gennem en femtrinsproces:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Registrering af stemmeaktivitet<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Systemet identificerer f\u00f8rst, hvorn\u00e5r der er tale, og hvorn\u00e5r der er stilhed eller baggrundsst\u00f8j. P\u00e5 den m\u00e5de adskilles de \u201ctalende dele\u201d fra alt andet i din optagelse.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Segmentering af talere<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Talen opdeles i sm\u00e5 segmenter, der typisk varer mellem 0,5 og 10 sekunder hver. Hvert segment repr\u00e6senterer en sammenh\u00e6ngende str\u00e6kning, hvor \u00e9n person taler.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Udtr\u00e6kning af karakteristika<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Det er her, den egentlige intelligens kommer til udtryk. Systemet skaber \u201ctaler-embeddings\u201d \u2014 i bund og grund digitale fingeraftryk, der indfanger unikke stemmeegenskaber. Disse embeddings koder m\u00f8nstre som stemmeh\u00f8jde, talerytme, accentmark\u00f8rer og klanglige egenskaber, der g\u00f8r hver enkelt stemme unik.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Sk\u00f8n over antallet af talere<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Moderne systemer registrerer automatisk, hvor mange forskellige talere der er i en optagelse \u2014 de kan typisk h\u00e5ndtere alt fra 2 til 26 forskellige stemmer, afh\u00e6ngigt af platformen.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Gruppering og tildeling<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Til sidst grupperer systemet segmenter med lignende stemmeaftryk og tildeler ensartede m\u00e6rker gennem hele optagelsen. Taler A i det f\u00f8rste minut f\u00e5r det samme m\u00e6rke som Taler A i det tredivte minut.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Resultatet? Et transkript, der tydeligt viser, hvem der sagde hvad, med betegnelser som \u201cTaleren 1\u201d, \u201cTaleren 2\u201d eller de navne, du selv v\u00e6lger.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Hvorfor er det vigtigt at identificere talere?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Uden angivelse af talere er referater fra m\u00f8der med flere talere stort set ubrugelige. Forestil dig at l\u00e6se et m\u00f8derefat, der blot best\u00e5r af tekstafsnit uden angivelse af, hvem der taler \u2014 man kan hverken f\u00f8lge samtalens forl\u00f8b, s\u00f8ge efter, hvad en bestemt person har sagt, eller finde ud af, hvem der har p\u00e5taget sig de konkrete opgaver.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Tidsbesparelser, der l\u00f8ber op<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Manuel m\u00e6rkning af talere tager 3-4 gange l\u00e6ngere tid end lydklippets varighed. Et interview p\u00e5 en time? Det betyder 3-4 timers kedeligt arbejde bare for at tilf\u00f8je talerm\u00e6rker. <a href=\"https:\/\/sonix.ai\/features\/automated-transcription\">Automatiseret transskription<\/a> Med diarization klares dette p\u00e5 f\u00e5 minutter, s\u00e5 du kan bruge tiden p\u00e5 at fokusere p\u00e5 analysen i stedet for det kedelige arbejde.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Branchespecifikke konsekvenser<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Forskellige omr\u00e5der anvender diarisation til at opn\u00e5 forskellige resultater:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Juridiske teams<\/strong> Ved behandling af vidneforklaringer kan man med det samme s\u00f8ge efter alle vidneforklaringer eller indsigelser fra modpartens advokat, hvilket reducerer tiden til gennemgang af bevismaterialet markant<\/li>\n\n\n\n<li><strong>Kontaktcentre<\/strong> adskille medarbejderens tale fra kundens tale for at analysere taletidsforhold, klagem\u00f8nstre og servicekvalitet<\/li>\n\n\n\n<li><strong>Sundhedsudbydere<\/strong> dokumentere patientkonsultationer med en tydelig angivelse af, hvem der har talt med hvem, med henblik p\u00e5 overholdelsesregistreringer<\/li>\n\n\n\n<li><strong>Forskere og journalister<\/strong> ved at gennemf\u00f8re interviews kan man hurtigt udtr\u00e6kke citater, identificere temaer efter taler og kode kvalitative data<\/li>\n\n\n\n<li><strong>Podcast-producenter<\/strong> automatisk generere programnoter med tidsstempler knyttet til de enkelte talere og udtr\u00e6kke citater fra g\u00e6sterne til brug p\u00e5 sociale medier<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For <a href=\"https:\/\/sonix.ai\/researchers\">forskere<\/a> og <a href=\"https:\/\/sonix.ai\/journalists\">journalister<\/a> Ved at h\u00e5ndtere timevis af interviewoptagelser g\u00f8r diariseringsprocessen analysearbejdet overkommeligt i stedet for uoverskueligt.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>N\u00f8jagtighed ved diarisering af talere: Hvad kan man forvente?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Moderne diariseringssystemer opn\u00e5r en n\u00f8jagtighed p\u00e5 80\u201395% under optimale forhold, og f\u00f8rende udbydere angiver op til 48% f\u00e6rre fejl i taleridentifikationen sammenlignet med basissystemer.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Faktorer, der p\u00e5virker n\u00f8jagtigheden:<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Klar lyd, tydelige stemmer:<\/strong> H\u00f8jeste n\u00f8jagtighed (90-95%)<\/li>\n\n\n\n<li><strong>Der er baggrundsst\u00f8j:<\/strong> Et moderat fald i n\u00f8jagtigheden<\/li>\n\n\n\n<li><strong>Talere, der lyder ens:<\/strong> M\u00e6rkbart fald i n\u00f8jagtigheden<\/li>\n\n\n\n<li><strong>Overlappende tale:<\/strong> Betydeligt fald i n\u00f8jagtigheden<\/li>\n\n\n\n<li><strong>10 eller flere talere:<\/strong> En udfordring for de fleste systemer<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">V\u00e6r realistisk: De fleste automatiserede diariseringsprocesser kr\u00e6ver 10\u201320% manuel gennemgang og korrektion. Teknologien fungerer bedst som en yderst pr\u00e6cis assistent, der klarer det tunge arbejde, mens du st\u00e5r for kvalitetskontrollen. Platforme som Sonix tilbyder <a href=\"https:\/\/sonix.ai\/features\/collaborate-with-teams\">redigeringsv\u00e6rkt\u00f8jer i browseren<\/a> der g\u00f8r det hurtigt og nemt at gennemg\u00e5 og rette h\u00f8jttaleretiketter.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Diarisering af talere kontra talergenkendelse<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Disse udtryk lyder ens, men l\u00f8ser forskellige problemer:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/lajavaness.medium.com\/speaker-diarization-an-introductory-overview-c070a3bfea70\"><strong>Diarisering af talere<\/strong><\/a> tildeler generiske betegnelser (Taleren 1, Taleren 2) p\u00e5 baggrund af stemmeforskelle inden for en enkelt optagelse. Den ved ikke <em>der<\/em> H\u00f8jttalerne er \u2014 ja, de er bare forskellige fra hinanden.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.sciencedirect.com\/topics\/engineering\/speaker-recognition\"><strong>Anerkendelse af talere<\/strong><\/a> l\u00e6rer med tiden at genkende bestemte stemmer og tildeler automatisk navne, n\u00e5r du har m\u00e6rket den samme taler i et par optagelser. Dette kr\u00e6ver, at der opbygges et bibliotek med stemmeprofiler, hvilket medf\u00f8rer yderligere overvejelser vedr\u00f8rende privatlivets fred i forbindelse med opbevaring af biometriske data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De fleste transskriberingsprocesser starter med diariseringsfasen, hvorefter de generiske m\u00e6rker manuelt tildeles navne. Nogle virksomhedsplattformer, s\u00e5som Sonix, tilbyder genkendelsesfunktioner til teams med tilbagevendende talere \u2014 hvilket er nyttigt for organisationer, der transskriberer ugentlige m\u00f8der med de samme deltagere.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Praktiske anvendelser<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>M\u00f8deprotokol<\/strong>: Et strategim\u00f8de med 8 deltagere kan nu s\u00f8ges efter taler. Find alle de tilsagn, Sarah gav, eller alle de sp\u00f8rgsm\u00e5l, som administrerende direkt\u00f8ren stillede.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Podcast-produktion<\/strong>: Adskil automatisk v\u00e6rtssp\u00f8rgsm\u00e5l fra g\u00e6stesvar med henblik p\u00e5 oprettelse af klip, kapitelmark\u00f8rer og programnoter.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Retslige vidneforklaringer<\/strong>: Udarbejd transskriptioner med indeksering efter taler, s\u00e5 advokaterne straks kan finde alle vidneudsagn fra et bestemt vidne.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Kvalitativ forskning<\/strong>: Kod dataene fra samtalerne efter taler, og kortl\u00e6g, hvordan de forskellige deltagere reagerer p\u00e5 de samme emner.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/sonix.ai\/features\/ai-analysis\">AI-analysev\u00e6rkt\u00f8jer<\/a> kan tage diariseringsprocessen et skridt videre \u2014 ved at udtr\u00e6kke temaer, stemning og n\u00f8glemomenter fra transskriptioner, hvor talerne er angivet, s\u00e5 du p\u00e5 f\u00e5 minutter kan f\u00e5 indsigt i timevis af optagelser.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Relaterede begreber<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/sonix.ai\/automated-transcription\"><strong>Automatiseret transskription<\/strong><\/a> \u2014 Konvertering af tale til tekst ved hj\u00e6lp af AI; diarisering indg\u00e5r ofte som en funktion<\/li>\n\n\n\n<li><a href=\"https:\/\/sonix.ai\/verbatim-transcription\"><strong>Ordret transskription<\/strong><\/a> \u2014 Ord-for-ord-transskription, herunder fyldord og fejltagelser ved begyndelsen af s\u00e6tningerne<\/li>\n\n\n\n<li><a href=\"https:\/\/sonix.ai\/automated-subtitles-and-captions\"><strong>Undertekster<\/strong><\/a> \u2014 Tekst p\u00e5 sk\u00e6rmen, der kan indeholde angivelse af taleren af hensyn til tilg\u00e6ngeligheden<\/li>\n\n\n\n<li><a href=\"https:\/\/sonix.ai\/real-time-transcription\"><strong>Transskription i realtid<\/strong><\/a> \u2014 Live-omdannelse af tale til tekst, som i stigende grad omfatter diariseringsfunktion i realtid<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Ofte stillede sp\u00f8rgsm\u00e5l<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Hvor pr\u00e6cis er h\u00f8jttaler-diarisation i dag?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Moderne systemer opn\u00e5r en n\u00f8jagtighed p\u00e5 80\u201395% med klar lyd og tydelige stemmer. N\u00f8jagtigheden falder ved overlappende tale, talere med enslydende stemmer eller d\u00e5rlig lydkvalitet. S\u00f8rg for at afs\u00e6tte tid til en hurtig manuel gennemgang for at fange de 10\u201320%, der skal rettes.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Kan talerdiarisering identificere bestemte personer ved navn?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Ved standard-diarisering tildeles generiske betegnelser som \u201cTaleren 1\u201d og \u201cTaleren 2\u201d. Du skal manuelt tildele navne, efter at du har gennemg\u00e5et transskriptionen. Nogle platforme tilbyder talegenkendelse, der l\u00e6rer stemmerne at kende over tid, men dette kr\u00e6ver, at der opbygges stemmeprofiler p\u00e5 tv\u00e6rs af flere optagelser.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Hvilken lydkvalitet skal jeg have for at opn\u00e5 gode resultater med diarisation?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Klar lyd med minimal baggrundsst\u00f8j giver de bedste resultater. Brug mikrofoner af god kvalitet, reducer ekko og minimer krydstale mellem talerne. Selv optagelser med en almindelig smartphone fungerer som regel godt, s\u00e5 l\u00e6nge talerne ikke taler i munden p\u00e5 hinanden.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Hvor mange talere kan diariseringsfunktionen h\u00e5ndtere?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">De fleste kommercielle systemer kan p\u00e5lideligt h\u00e5ndtere 2\u201310 talere, og nogle underst\u00f8tter op til 26. N\u00f8jagtigheden er st\u00f8rst, n\u00e5r der er 2\u20134 forskellige stemmer. Store m\u00f8der eller paneldiskussioner med mange deltagere kan kr\u00e6ve mere manuel korrektion.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Fungerer talerdiarisering p\u00e5 flere sprog?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Ja \u2014 de f\u00f8rende platforme underst\u00f8tter diarisation p\u00e5 snesevis af sprog. Teknologien analyserer akustiske stemmeegenskaber, der g\u00e5r p\u00e5 tv\u00e6rs af sprog, selvom n\u00f8jagtigheden kan variere afh\u00e6ngigt af det specifikke sprog og af, hvor godt de underliggende modeller er tr\u00e6net.<\/p>","protected":false},"excerpt":{"rendered":"<p>Talerdiarisering er en AI-baseret proces, der automatisk identificerer og m\u00e6rker forskellige talere i lyd- eller videooptagelser og dermed besvarer det grundl\u00e6ggende sp\u00f8rgsm\u00e5l: \u201cHvem talte hvorn\u00e5r?\u201d. Ved at analysere stemmekarakteristika som\u2026<\/p>","protected":false},"author":14,"featured_media":3241,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-3240","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What is Speaker Diarization? &#8226; Sonix<\/title>\n<meta name=\"description\" content=\"Speaker diarization is an AI-powered process that identifies who spoke when, labeling multiple speakers to create clear, searchable, and structured transcripts.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sonix.ai\/resources\/da\/talerdiarisering\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Speaker Diarization? &#8226; Sonix\" \/>\n<meta property=\"og:description\" content=\"Speaker diarization is an AI-powered process that identifies who spoke when, labeling multiple speakers to create clear, searchable, and structured transcripts.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sonix.ai\/resources\/da\/talerdiarisering\/\" \/>\n<meta property=\"og:site_name\" content=\"Sonix\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/trysonix\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-24T21:43:50+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-06T06:04:10+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/What-is-Speaker-Diarization.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1079\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Loud Speaker\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@trysonix\" \/>\n<meta name=\"twitter:site\" content=\"@trysonix\" \/>\n<meta name=\"twitter:label1\" content=\"Skrevet af\" \/>\n\t<meta name=\"twitter:data1\" content=\"Loud Speaker\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimeret l\u00e6setid\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutter\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/\"},\"author\":{\"name\":\"Loud Speaker\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#\\\/schema\\\/person\\\/8d008f049230fc3c193e224cf7f27fc2\"},\"headline\":\"What is Speaker Diarization?\",\"datePublished\":\"2026-07-24T21:43:50+00:00\",\"dateModified\":\"2026-08-06T06:04:10+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/\"},\"wordCount\":1081,\"publisher\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/What-is-Speaker-Diarization.jpg\",\"articleSection\":[\"Education\"],\"inLanguage\":\"da-DK\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/\",\"url\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/\",\"name\":\"What is Speaker Diarization? &#8226; Sonix\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/What-is-Speaker-Diarization.jpg\",\"datePublished\":\"2026-07-24T21:43:50+00:00\",\"dateModified\":\"2026-08-06T06:04:10+00:00\",\"description\":\"Speaker diarization is an AI-powered process that identifies who spoke when, labeling multiple speakers to create clear, searchable, and structured transcripts.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/#breadcrumb\"},\"inLanguage\":\"da-DK\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/#primaryimage\",\"url\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/What-is-Speaker-Diarization.jpg\",\"contentUrl\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/What-is-Speaker-Diarization.jpg\",\"width\":1920,\"height\":1079},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/speaker-diarization\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"What is Speaker Diarization?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#website\",\"url\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/\",\"name\":\"Sonix\",\"description\":\"Automatically convert your audio and video files to text\",\"publisher\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"da-DK\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#organization\",\"name\":\"Sonix.ai\",\"url\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2017\\\/12\\\/Sonix-Logo-v2-blue-square.png?fit=310%2C310&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/sonix.ai\\\/resources\\\/wp-content\\\/uploads\\\/2017\\\/12\\\/Sonix-Logo-v2-blue-square.png?fit=310%2C310&ssl=1\",\"width\":310,\"height\":310,\"caption\":\"Sonix.ai\"},\"image\":{\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/trysonix\\\/\",\"https:\\\/\\\/x.com\\\/trysonix\",\"https:\\\/\\\/ke.linkedin.com\\\/company\\\/sonix-inc\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/es\\\/#\\\/schema\\\/person\\\/8d008f049230fc3c193e224cf7f27fc2\",\"name\":\"Loud Speaker\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g\",\"caption\":\"Loud Speaker\"},\"url\":\"https:\\\/\\\/sonix.ai\\\/resources\\\/da\\\/author\\\/loudspeaker\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Hvad er talerdiarisering? \u2022 Sonix","description":"Talerdiarisering er en AI-baseret proces, der identificerer, hvem der talte hvorn\u00e5r, og m\u00e6rker de forskellige talere for at skabe klare, s\u00f8gbare og strukturerede transskriptioner.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sonix.ai\/resources\/da\/talerdiarisering\/","og_locale":"da_DK","og_type":"article","og_title":"What is Speaker Diarization? &#8226; Sonix","og_description":"Speaker diarization is an AI-powered process that identifies who spoke when, labeling multiple speakers to create clear, searchable, and structured transcripts.","og_url":"https:\/\/sonix.ai\/resources\/da\/talerdiarisering\/","og_site_name":"Sonix","article_publisher":"https:\/\/www.facebook.com\/trysonix\/","article_published_time":"2026-07-24T21:43:50+00:00","article_modified_time":"2026-08-06T06:04:10+00:00","og_image":[{"width":1920,"height":1079,"url":"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/What-is-Speaker-Diarization.jpg","type":"image\/jpeg"}],"author":"Loud Speaker","twitter_card":"summary_large_image","twitter_creator":"@trysonix","twitter_site":"@trysonix","twitter_misc":{"Skrevet af":"Loud Speaker","Estimeret l\u00e6setid":"5 minutter"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/sonix.ai\/resources\/speaker-diarization\/#article","isPartOf":{"@id":"https:\/\/sonix.ai\/resources\/speaker-diarization\/"},"author":{"name":"Loud Speaker","@id":"https:\/\/sonix.ai\/resources\/es\/#\/schema\/person\/8d008f049230fc3c193e224cf7f27fc2"},"headline":"What is Speaker Diarization?","datePublished":"2026-07-24T21:43:50+00:00","dateModified":"2026-08-06T06:04:10+00:00","mainEntityOfPage":{"@id":"https:\/\/sonix.ai\/resources\/speaker-diarization\/"},"wordCount":1081,"publisher":{"@id":"https:\/\/sonix.ai\/resources\/es\/#organization"},"image":{"@id":"https:\/\/sonix.ai\/resources\/speaker-diarization\/#primaryimage"},"thumbnailUrl":"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/What-is-Speaker-Diarization.jpg","articleSection":["Education"],"inLanguage":"da-DK"},{"@type":"WebPage","@id":"https:\/\/sonix.ai\/resources\/speaker-diarization\/","url":"https:\/\/sonix.ai\/resources\/speaker-diarization\/","name":"Hvad er talerdiarisering? \u2022 Sonix","isPartOf":{"@id":"https:\/\/sonix.ai\/resources\/es\/#website"},"primaryImageOfPage":{"@id":"https:\/\/sonix.ai\/resources\/speaker-diarization\/#primaryimage"},"image":{"@id":"https:\/\/sonix.ai\/resources\/speaker-diarization\/#primaryimage"},"thumbnailUrl":"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/What-is-Speaker-Diarization.jpg","datePublished":"2026-07-24T21:43:50+00:00","dateModified":"2026-08-06T06:04:10+00:00","description":"Talerdiarisering er en AI-baseret proces, der identificerer, hvem der talte hvorn\u00e5r, og m\u00e6rker de forskellige talere for at skabe klare, s\u00f8gbare og strukturerede transskriptioner.","breadcrumb":{"@id":"https:\/\/sonix.ai\/resources\/speaker-diarization\/#breadcrumb"},"inLanguage":"da-DK","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sonix.ai\/resources\/speaker-diarization\/"]}]},{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/sonix.ai\/resources\/speaker-diarization\/#primaryimage","url":"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/What-is-Speaker-Diarization.jpg","contentUrl":"https:\/\/sonix.ai\/resources\/wp-content\/uploads\/2026\/01\/What-is-Speaker-Diarization.jpg","width":1920,"height":1079},{"@type":"BreadcrumbList","@id":"https:\/\/sonix.ai\/resources\/speaker-diarization\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/sonix.ai\/resources\/es\/"},{"@type":"ListItem","position":2,"name":"What is Speaker Diarization?"}]},{"@type":"WebSite","@id":"https:\/\/sonix.ai\/resources\/es\/#website","url":"https:\/\/sonix.ai\/resources\/es\/","name":"Sonix","description":"Automatisk konvertering af dine lyd- og videofiler til tekst","publisher":{"@id":"https:\/\/sonix.ai\/resources\/es\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sonix.ai\/resources\/es\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"da-DK"},{"@type":"Organization","@id":"https:\/\/sonix.ai\/resources\/es\/#organization","name":"Sonix.ai","url":"https:\/\/sonix.ai\/resources\/es\/","logo":{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/sonix.ai\/resources\/es\/#\/schema\/logo\/image\/","url":"https:\/\/i0.wp.com\/sonix.ai\/resources\/wp-content\/uploads\/2017\/12\/Sonix-Logo-v2-blue-square.png?fit=310%2C310&ssl=1","contentUrl":"https:\/\/i0.wp.com\/sonix.ai\/resources\/wp-content\/uploads\/2017\/12\/Sonix-Logo-v2-blue-square.png?fit=310%2C310&ssl=1","width":310,"height":310,"caption":"Sonix.ai"},"image":{"@id":"https:\/\/sonix.ai\/resources\/es\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/trysonix\/","https:\/\/x.com\/trysonix","https:\/\/ke.linkedin.com\/company\/sonix-inc"]},{"@type":"Person","@id":"https:\/\/sonix.ai\/resources\/es\/#\/schema\/person\/8d008f049230fc3c193e224cf7f27fc2","name":"H\u00f8jttaler","image":{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/secure.gravatar.com\/avatar\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/1b211ac5d7ce4222eef42c493b1c49624453605787771ebb4c5eda2a1891174a?s=96&d=mm&r=g","caption":"Loud Speaker"},"url":"https:\/\/sonix.ai\/resources\/da\/author\/loudspeaker\/"}]}},"_links":{"self":[{"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/posts\/3240","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/comments?post=3240"}],"version-history":[{"count":1,"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/posts\/3240\/revisions"}],"predecessor-version":[{"id":4147,"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/posts\/3240\/revisions\/4147"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/media\/3241"}],"wp:attachment":[{"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/media?parent=3240"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/categories?post=3240"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sonix.ai\/resources\/da\/wp-json\/wp\/v2\/tags?post=3240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}