{"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":"konusmaci-ayirma","status":"publish","type":"post","link":"https:\/\/sonix.ai\/resources\/tr\/speaker-diarization\/","title":{"rendered":"Konu\u015fmac\u0131 Diarizasyonu Nedir?"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><a href=\"https:\/\/lajavaness.medium.com\/speaker-diarization-an-introductory-overview-c070a3bfea70\">Konu\u015fmac\u0131 g\u00fcnl\u00fc\u011f\u00fc<\/a> ses veya video kay\u0131tlar\u0131ndaki farkl\u0131 konu\u015fmac\u0131lar\u0131 otomatik olarak tan\u0131mlayan ve etiketleyen, \u201ckim ne zaman konu\u015ftu\u201d \u015feklindeki temel soruyu yan\u0131tlayan, yapay zeka destekli bir s\u00fcre\u00e7tir. Ses y\u00fcksekli\u011fi, ton ve konu\u015fma kal\u0131plar\u0131 gibi ses \u00f6zelliklerini analiz ederek, diarizasyon \u00e7ok konu\u015fmac\u0131l\u0131 kay\u0131tlar\u0131 her bir b\u00f6l\u00fcm\u00fcn belirli bir konu\u015fmac\u0131ya atand\u0131\u011f\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f transkriptlere d\u00f6n\u00fc\u015ft\u00fcr\u00fcr; b\u00f6ylece kullan\u0131lamaz metin y\u0131\u011f\u0131nlar\u0131n\u0131 aranabilir, d\u00fczenli belgelere d\u00f6n\u00fc\u015ft\u00fcr\u00fcr.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Konu\u015fmac\u0131 Tan\u0131mlama Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Konu\u015fmac\u0131 tan\u0131mlamas\u0131n\u0131, bir ak\u015fam yeme\u011fi partisinde sesleri nas\u0131l tan\u0131d\u0131\u011f\u0131n\u0131z\u0131 d\u00fc\u015f\u00fcn\u00fcn \u2014 g\u00f6zleriniz kapal\u0131 olsa bile, her birinin kendine \u00f6zg\u00fc ses \u00f6zelliklerine dayanarak kimin konu\u015ftu\u011funu anlayabilirsiniz. Yapay zeka sistemleri bunu be\u015f a\u015famal\u0131 bir s\u00fcre\u00e7le ger\u00e7ekle\u015ftirir:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Ses Etkinli\u011fi Alg\u0131lama<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Sistem \u00f6ncelikle konu\u015fman\u0131n ne zaman ger\u00e7ekle\u015fti\u011fini, sessizli\u011fi veya arka plan g\u00fcr\u00fclt\u00fcs\u00fcn\u00fc ay\u0131rt eder. Bu sayede, kayd\u0131n\u0131zdaki \u201ckonu\u015fma k\u0131s\u0131mlar\u0131\u201d di\u011fer her \u015feyden ayr\u0131l\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Konu\u015fmac\u0131 B\u00f6l\u00fcmleme<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Konu\u015fma, genellikle her biri 0,5 ila 10 saniye uzunlu\u011funda olan k\u00fc\u00e7\u00fck par\u00e7alara b\u00f6l\u00fcn\u00fcr. Her bir par\u00e7a, bir ki\u015finin kesintisiz konu\u015fma b\u00f6l\u00fcm\u00fcn\u00fc temsil eder.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. \u00d6zellik \u00c7\u0131karma<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u0130\u015fte as\u0131l zeka burada devreye giriyor. Sistem, \u201ckonu\u015fmac\u0131 g\u00f6m\u00fcleri\u201d olu\u015fturur \u2014 bunlar, temelde benzersiz ses \u00f6zelliklerini yakalayan dijital parmak izleridir. Bu g\u00f6m\u00fcler, her sesi kendine \u00f6zg\u00fc k\u0131lan ses perdesi, konu\u015fma ritmi, aksan belirte\u00e7leri ve ton \u00f6zellikleri gibi kal\u0131plar\u0131 kodlar.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Hoparl\u00f6r Say\u0131s\u0131 Tahmini<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Modern sistemler, bir kay\u0131ttaki farkl\u0131 konu\u015fmac\u0131 say\u0131s\u0131n\u0131 otomatik olarak tespit eder \u2014 platforma ba\u011fl\u0131 olarak genellikle 2 ila 26 aras\u0131nda farkl\u0131 sesi i\u015fler.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. K\u00fcmeleme ve Atama<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Son olarak, sistem benzer ses parmak izlerine sahip segmentleri bir araya toplar ve kay\u0131t boyunca tutarl\u0131 etiketler atar. Birinci dakikadaki Konu\u015fmac\u0131 A, otuzuncu dakikadaki Konu\u015fmac\u0131 A ile ayn\u0131 etiketi al\u0131r.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sonu\u00e7 ne mi? Kimin ne s\u00f6yledi\u011fini a\u00e7\u0131k\u00e7a g\u00f6steren, \u201cKonu\u015fmac\u0131 1\u201d, \u201cKonu\u015fmac\u0131 2\u201d gibi etiketler ya da sizin belirledi\u011finiz \u00f6zel isimler i\u00e7eren bir konu\u015fma metni.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Konu\u015fmac\u0131 Bilgilerinin Kaydedilmesi Neden \u00d6nemlidir?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Konu\u015fmac\u0131 etiketleri olmadan, \u00e7ok konu\u015fmac\u0131l\u0131 toplant\u0131 tutanaklar\u0131 neredeyse hi\u00e7bir i\u015fe yaramaz. Kimin konu\u015ftu\u011funa dair hi\u00e7bir ipucu i\u00e7ermeyen, sadece metin paragraflar\u0131ndan olu\u015fan bir toplant\u0131 tutana\u011f\u0131n\u0131 okudu\u011funuzu hayal edin \u2014 konu\u015fman\u0131n ak\u0131\u015f\u0131n\u0131 takip edemez, belirli bir ki\u015finin ne dedi\u011fini arayamaz veya eylem maddelerini \u00fcstlenen ki\u015fileri belirleyemezsiniz.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Birikerek Artan Zaman Tasarrufu<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Konu\u015fmac\u0131 etiketlemesinin manuel olarak yap\u0131lmas\u0131, ses kayd\u0131n\u0131n s\u00fcresinden 3-4 kat daha uzun s\u00fcrer. Bir saatlik bir r\u00f6portaj m\u0131? Sadece konu\u015fmac\u0131 etiketlerini eklemek i\u00e7in bile 3-4 saatlik s\u0131k\u0131c\u0131 bir \u00e7al\u0131\u015fma gerektirir. <a href=\"https:\/\/sonix.ai\/features\/automated-transcription\">Otomatik transkripsiyon<\/a> Diarization sayesinde bu i\u015flem dakikalar i\u00e7inde halledilir; b\u00f6ylece siz de rutin i\u015fler yerine analize odaklanabilirsiniz.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Sekt\u00f6re \u00d6zg\u00fc Etki<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Farkl\u0131 alanlar, farkl\u0131 sonu\u00e7lar elde etmek i\u00e7in diarizasyon y\u00f6nteminden yararlanmaktad\u0131r:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Hukuk ekipleri<\/strong> \u0130fade kay\u0131tlar\u0131n\u0131n i\u015flenmesi, t\u00fcm tan\u0131k ifadelerini veya kar\u015f\u0131 taraf avukat\u0131n\u0131n itirazlar\u0131n\u0131 an\u0131nda aramaya olanak tan\u0131r ve bu sayede delil inceleme s\u00fcresini \u00f6nemli \u00f6l\u00e7\u00fcde k\u0131salt\u0131r<\/li>\n\n\n\n<li><strong>M\u00fc\u015fteri hizmetleri merkezleri<\/strong> konu\u015fma s\u00fcreleri oranlar\u0131n\u0131, \u015fikayet kal\u0131plar\u0131n\u0131 ve hizmet kalitesini analiz etmek amac\u0131yla temsilci konu\u015fmalar\u0131n\u0131 m\u00fc\u015fteri konu\u015fmalar\u0131ndan ay\u0131rmak<\/li>\n\n\n\n<li><strong>Sa\u011fl\u0131k hizmeti sa\u011flay\u0131c\u0131lar\u0131<\/strong> Uyum kay\u0131tlar\u0131 i\u00e7in doktor ve hasta aras\u0131ndaki ili\u015fkiyi a\u00e7\u0131k\u00e7a belirtmek suretiyle hasta muayenelerini belgelemek<\/li>\n\n\n\n<li><strong>Ara\u015ft\u0131rmac\u0131lar ve gazeteciler<\/strong> g\u00f6r\u00fc\u015fmeler yapmak, al\u0131nt\u0131lar\u0131 h\u0131zl\u0131 bir \u015fekilde derleyebilir, konu\u015fmac\u0131lara g\u00f6re temalar\u0131 belirleyebilir ve nitel verileri kodlayabilir<\/li>\n\n\n\n<li><strong>Podcast yap\u0131mc\u0131lar\u0131<\/strong> konu\u015fmac\u0131lara atfedilen zaman damgalar\u0131 i\u00e7eren program notlar\u0131n\u0131 otomatik olarak olu\u015fturmak ve sosyal medya i\u00e7in konuk al\u0131nt\u0131lar\u0131n\u0131 ay\u0131klamak<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0130\u00e7in <a href=\"https:\/\/sonix.ai\/researchers\">ara\u015ft\u0131rmac\u0131lar<\/a> ve <a href=\"https:\/\/sonix.ai\/journalists\">gazeteciler<\/a> Saatlerce s\u00fcren r\u00f6portaj kay\u0131tlar\u0131n\u0131 i\u015fleyen diarizasyon, analiz s\u00fcrecini ba\u015fa \u00e7\u0131k\u0131lamaz bir durumdan y\u00f6netilebilir hale getirir.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Konu\u015fmac\u0131 Tan\u0131mlama Do\u011frulu\u011fu: Ne Beklemeli?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Modern diyari\u0437\u0430\u0446\u0438\u044f sistemleri, optimal ko\u015fullarda -95% do\u011fruluk oran\u0131na ula\u015fmaktad\u0131r; \u00f6nde gelen sa\u011flay\u0131c\u0131lar, temel sistemlere k\u0131yasla konu\u015fmac\u0131 tan\u0131mlama hatalar\u0131nda %'ye varan bir azalma bildirmektedir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Do\u011frulu\u011fu Etkileyen Fakt\u00f6rler:<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Net ses, belirgin sesler:<\/strong> En y\u00fcksek do\u011fruluk (90-95%)<\/li>\n\n\n\n<li><strong>Arka plan g\u00fcr\u00fclt\u00fcs\u00fc mevcut:<\/strong> Do\u011frulukta \u0131l\u0131ml\u0131 bir d\u00fc\u015f\u00fc\u015f<\/li>\n\n\n\n<li><strong>Kula\u011fa benzer gelen konu\u015fmac\u0131lar:<\/strong> Do\u011frulukta g\u00f6zle g\u00f6r\u00fcl\u00fcr bir d\u00fc\u015f\u00fc\u015f<\/li>\n\n\n\n<li><strong>Konu\u015fmalar\u0131n \u00e7ak\u0131\u015fmas\u0131:<\/strong> Do\u011frulukta \u00f6nemli bir d\u00fc\u015f\u00fc\u015f<\/li>\n\n\n\n<li><strong>10'dan fazla konu\u015fmac\u0131:<\/strong> \u00c7o\u011fu sistem i\u00e7in zorlay\u0131c\u0131<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ger\u00e7ek\u00e7i olun: Otomatik diyari\u0437\u0430\u0446\u0438\u044f i\u015flemlerinin \u00e7o\u011funda 10-20% oran\u0131nda manuel inceleme ve d\u00fczeltme gerekir. Bu teknoloji, siz kalite kontrol\u00fcn\u00fc sa\u011flarken a\u011f\u0131r i\u015fleri \u00fcstlenen son derece hassas bir yard\u0131mc\u0131 olarak en iyi \u015fekilde i\u015flev g\u00f6r\u00fcr. Sonix gibi platformlar \u015funlar\u0131 sunar: <a href=\"https:\/\/sonix.ai\/features\/collaborate-with-teams\">taray\u0131c\u0131 i\u00e7i d\u00fczenleme ara\u00e7lar\u0131<\/a> konu\u015fmac\u0131 etiketlerini g\u00f6zden ge\u00e7irmeyi ve d\u00fczeltmeyi h\u0131zl\u0131 ve zahmetsiz hale getiren.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Konu\u015fmac\u0131 Diarizasyonu ve Konu\u015fmac\u0131 Tan\u0131ma<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Bu terimler birbirine benziyor gibi g\u00f6r\u00fcnse de farkl\u0131 sorunlar\u0131 \u00e7\u00f6z\u00fcyor:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/lajavaness.medium.com\/speaker-diarization-an-introductory-overview-c070a3bfea70\"><strong>Konu\u015fmac\u0131 G\u00fcnl\u00fc\u011f\u00fc<\/strong><\/a> tek bir kay\u0131t i\u00e7indeki ses farkl\u0131l\u0131klar\u0131na dayanarak genel etiketler (Konu\u015fmac\u0131 1, Konu\u015fmac\u0131 2) atar. \u015eunu bilmez: <em>kim<\/em> Hoparl\u00f6rlerin \u00f6zelli\u011fi \u2014 sadece birbirlerinden farkl\u0131 olmalar\u0131d\u0131r.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.sciencedirect.com\/topics\/engineering\/speaker-recognition\"><strong>Konu\u015fmac\u0131 Tan\u0131ma<\/strong><\/a> Zamanla belirli sesleri tan\u0131r ve ayn\u0131 konu\u015fmac\u0131y\u0131 birka\u00e7 kay\u0131ttan sonra etiketledi\u011finizde isimleri otomatik olarak atar. Bu, bir ses profili k\u00fct\u00fcphanesi olu\u015fturulmas\u0131n\u0131 gerektirir; bu da biyometrik verilerin depolanmas\u0131yla ilgili ek gizlilik kayg\u0131lar\u0131n\u0131 g\u00fcndeme getirir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00c7o\u011fu transkripsiyon i\u015f ak\u0131\u015f\u0131, diyalog b\u00f6l\u00fcnmesi ile ba\u015flar; ard\u0131ndan genel etiketlere manuel olarak isimler atan\u0131r. Sonix gibi baz\u0131 kurumsal platformlar, tekrar eden konu\u015fmac\u0131lar\u0131 olan ekipler i\u00e7in tan\u0131ma \u00f6zellikleri sunar; bu, ayn\u0131 kat\u0131l\u0131mc\u0131lar\u0131n yer ald\u0131\u011f\u0131 haftal\u0131k toplant\u0131lar\u0131n transkripsiyonunu yapan kurulu\u015flar i\u00e7in yararl\u0131d\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Pratik Uygulamalar<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Toplant\u0131 Tutana\u011f\u0131<\/strong>: 8 ki\u015finin kat\u0131ld\u0131\u011f\u0131 bir strateji toplant\u0131s\u0131n\u0131n kay\u0131tlar\u0131, konu\u015fmac\u0131ya g\u00f6re aranabilir hale geliyor. Sarah\u2019n\u0131n verdi\u011fi t\u00fcm taahh\u00fctleri veya CEO\u2019nun sordu\u011fu t\u00fcm sorular\u0131 bulabilirsiniz.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Podcast \u00dcretimi<\/strong>: Klip olu\u015fturma, b\u00f6l\u00fcm i\u015faretleri ve program notlar\u0131 i\u00e7in sunucunun sorular\u0131n\u0131 konuklar\u0131n yan\u0131tlar\u0131ndan otomatik olarak ay\u0131r\u0131n.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Yasal \u0130fadeler<\/strong>: Avukatlar\u0131n belirli bir tan\u0131\u011f\u0131n t\u00fcm ifadelerini an\u0131nda bulabilecekleri, konu\u015fmac\u0131ya g\u00f6re indekslenmi\u015f transkriptler olu\u015fturun.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Nitel Ara\u015ft\u0131rma<\/strong>: M\u00fclakat verilerini konu\u015fmac\u0131lara g\u00f6re s\u0131n\u0131fland\u0131r\u0131n ve farkl\u0131 kat\u0131l\u0131mc\u0131lar\u0131n ayn\u0131 konulara nas\u0131l tepki verdiklerini takip edin.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/sonix.ai\/features\/ai-analysis\">Yapay zeka analiz ara\u00e7lar\u0131<\/a> diarizasyonu daha da ileriye ta\u015f\u0131yabilir \u2014 konu\u015fmac\u0131 bilgilerinin yer ald\u0131\u011f\u0131 transkriptlerden temalar\u0131, duygusal tonu ve \u00f6nemli anlar\u0131 ay\u0131klayarak, saatler s\u00fcren kay\u0131tlardan elde edilen i\u00e7g\u00f6r\u00fcleri dakikalar i\u00e7inde ortaya \u00e7\u0131karman\u0131za yard\u0131mc\u0131 olur.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u0130lgili Terimler<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/sonix.ai\/automated-transcription\"><strong>Otomatik Transkripsiyon<\/strong><\/a> \u2014 Yapay zeka kullanarak konu\u015fmay\u0131 metne d\u00f6n\u00fc\u015ft\u00fcrme; bu i\u015flev genellikle g\u00fcnl\u00fckle\u015ftirme \u00f6zelli\u011fini de i\u00e7erir<\/li>\n\n\n\n<li><a href=\"https:\/\/sonix.ai\/verbatim-transcription\"><strong>Verbatim Transkripsiyon<\/strong><\/a> \u2014 Dolgu kelimeleri ve yanl\u0131\u015f ba\u015flang\u0131\u00e7lar da dahil olmak \u00fczere kelime kelime transkripsiyon<\/li>\n\n\n\n<li><a href=\"https:\/\/sonix.ai\/automated-subtitles-and-captions\"><strong>Kapal\u0131 Altyaz\u0131lar<\/strong><\/a> \u2014 Eri\u015filebilirlik amac\u0131yla konu\u015fmac\u0131n\u0131n kimli\u011fini de i\u00e7erebilen ekran metni<\/li>\n\n\n\n<li><a href=\"https:\/\/sonix.ai\/real-time-transcription\"><strong>Ger\u00e7ek Zamanl\u0131 Transkripsiyon<\/strong><\/a> \u2014 Canl\u0131 konu\u015fma-metin d\u00f6n\u00fc\u015ft\u00fcrme; giderek artan oranda ger\u00e7ek zamanl\u0131 diyalog b\u00f6l\u00fcnmesini de i\u00e7eriyor<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>S\u0131k\u00e7a Sorulan Sorular<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>G\u00fcn\u00fcm\u00fczde konu\u015fmac\u0131 ay\u0131rma ne kadar do\u011frudur?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Modern sistemler, net ses ve belirgin ses tonlar\u0131yla -95% do\u011fruluk oran\u0131na ula\u015fmaktad\u0131r. Do\u011fruluk oran\u0131, konu\u015fmalar\u0131n \u00fcst \u00fcste binmesi, sesleri birbirine benzeyen konu\u015fmac\u0131lar veya d\u00fc\u015f\u00fck ses kalitesi durumunda d\u00fc\u015fer. D\u00fczeltilmesi gereken -20%'leri tespit etmek i\u00e7in h\u0131zl\u0131 bir manuel inceleme a\u015famas\u0131 planlay\u0131n.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Konu\u015fmac\u0131 ayr\u0131\u015ft\u0131rma y\u00f6ntemi, belirli ki\u015fileri isimleriyle tan\u0131mlayabilir mi?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Standart diyalog ayr\u0131\u015ft\u0131rma i\u015fleminde \u201cKonu\u015fmac\u0131 1\u201d ve \u201cKonu\u015fmac\u0131 2\u201d gibi genel etiketler atan\u0131r. Transkripti inceledikten sonra isimleri manuel olarak ataman\u0131z gerekecektir. Baz\u0131 platformlar, zamanla sesleri \u00f6\u011frenen konu\u015fmac\u0131 tan\u0131ma \u00f6zelli\u011fi sunar; ancak bunun i\u00e7in birden fazla kay\u0131ttan ses profilleri olu\u015fturulmas\u0131 gerekir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u0130yi bir diarizasyon sonucu elde etmek i\u00e7in hangi ses kalitesine ihtiyac\u0131m var?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Arka plan g\u00fcr\u00fclt\u00fcs\u00fcn\u00fcn en aza indirildi\u011fi net ses kayd\u0131, en iyi sonu\u00e7lar\u0131 verir. Kaliteli mikrofonlar kullan\u0131n, yank\u0131y\u0131 azalt\u0131n ve konu\u015fmac\u0131lar aras\u0131ndaki \u00e7apraz konu\u015fmay\u0131 en aza indirin. Konu\u015fmac\u0131lar birbirlerinin s\u00f6z\u00fcn\u00fc kesmedikleri s\u00fcrece, ak\u0131ll\u0131 telefonlarla yap\u0131lan makul kalitedeki kay\u0131tlar bile genellikle iyi sonu\u00e7 verir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Diarizasyon i\u015flemi ka\u00e7 konu\u015fmac\u0131y\u0131 i\u015fleyebilir?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u00c7o\u011fu ticari sistem, 2 ila 10 hoparl\u00f6r\u00fc g\u00fcvenilir bir \u015fekilde i\u015fleyebilir; baz\u0131lar\u0131 ise 26 adede kadar destekler. Do\u011fruluk, 2 ila 4 farkl\u0131 ses oldu\u011funda en y\u00fcksek seviyeye ula\u015f\u0131r. \u00c7ok say\u0131da kat\u0131l\u0131mc\u0131n\u0131n yer ald\u0131\u011f\u0131 b\u00fcy\u00fck toplant\u0131lar veya panel tart\u0131\u015fmalar\u0131, daha fazla manuel d\u00fczeltme gerektirebilir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Konu\u015fmac\u0131 ayr\u0131\u015ft\u0131rma i\u015flemi birden fazla dilde \u00e7al\u0131\u015f\u0131yor mu?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Evet \u2014 \u00f6nde gelen platformlar, onlarca dilde diyalog ayr\u0131\u015ft\u0131rmay\u0131 desteklemektedir. Bu teknoloji, dil s\u0131n\u0131rlar\u0131n\u0131 a\u015fan akustik ses \u00f6zelliklerini analiz eder; ancak do\u011fruluk oran\u0131, s\u00f6z konusu dile ve temel modellerin ne kadar iyi e\u011fitilmi\u015f oldu\u011funa ba\u011fl\u0131 olarak de\u011fi\u015fiklik g\u00f6sterebilir.<\/p>","protected":false},"excerpt":{"rendered":"<p>Konu\u015fmac\u0131 ay\u0131rt etme, ses veya video kay\u0131tlar\u0131ndaki farkl\u0131 konu\u015fmac\u0131lar\u0131 otomatik olarak tan\u0131mlayan ve etiketleyen, \u201ckim ne zaman konu\u015ftu\u201d \u015feklindeki temel soruyu yan\u0131tlayan, yapay zeka destekli bir s\u00fcre\u00e7tir. \u015eu ses \u00f6zelliklerini analiz ederek\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 v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What is Speaker Diarization? 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