{"id":12620,"date":"2024-05-28T07:19:33","date_gmt":"2024-05-28T07:19:33","guid":{"rendered":"https:\/\/dailyai.com\/?p=12620"},"modified":"2024-05-28T06:24:06","modified_gmt":"2024-05-28T06:24:06","slug":"ai-headphones-let-users-focus-on-a-single-voice-in-noisy-environments","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/05\/ai-headphones-let-users-focus-on-a-single-voice-in-noisy-environments\/","title":{"rendered":"AI-hovedtelefoner lader brugerne fokusere p\u00e5 en enkelt stemme i st\u00f8jende omgivelser"},"content":{"rendered":"

Forskere ved University of Washington har udviklet et AI-system, der g\u00f8r det muligt for st\u00f8jreducerende hovedtelefoner at isolere og forst\u00e6rke en enkelt stemme i et overfyldt, st\u00f8jende milj\u00f8.\u00a0<\/b><\/p>\n

Teknologien, der kaldes Target Speech Hearing (TSH), g\u00f8r det muligt for brugerne at v\u00e6lge en bestemt person at lytte til ved blot at se p\u00e5 dem i nogle f\u00e5 sekunder.<\/span><\/p>\n

TSH-systemet l\u00f8ser en almindelig udfordring for st\u00f8jreducerende hovedtelefoner: Selv om de effektivt reducerer omgivende st\u00f8j, g\u00f8r de det vilk\u00e5rligt, hvilket g\u00f8r det vanskeligt for brugerne at h\u00f8re specifikke lyde, som de m\u00e5ske gerne vil fokusere p\u00e5.\u00a0<\/span><\/p>\n

Som Shyam Gollakota, professor ved University of Washington og projektets ledende forsker, <\/span>forklarer<\/span><\/a>\"At lytte til bestemte mennesker er et s\u00e5 grundl\u00e6ggende aspekt af, hvordan vi kommunikerer, og hvordan vi interagerer med andre mennesker. Men det kan v\u00e6re virkelig udfordrende at fokusere p\u00e5 bestemte personer i st\u00f8jende situationer, selv hvis man ikke har problemer med h\u00f8retab.\"<\/span><\/p>\n

S\u00e5dan fungerer det<\/h2>\n

Den <\/span>unders\u00f8gelse<\/span><\/a> kombinerer smart st\u00f8jreducerende hovedtelefoner og AI for at finde frem til individuelle stemmer i h\u00f8jlydte og overfyldte omgivelser.\u00a0<\/span><\/p>\n

    \n
  1. I \"tilmeldingsfasen\" ser brugeren p\u00e5 m\u00e5lh\u00f8jttaleren i et par sekunder, s\u00e5 de binaurale mikrofoner p\u00e5 hovedtelefonerne kan optage en lydpr\u00f8ve, der indeholder h\u00f8jttalerens stemmeegenskaber, selv i n\u00e6rv\u00e6r af andre h\u00f8jttalere og lyde.<\/span><\/li>\n
  2. Det opfangede binaurale signal behandles af et neuralt netv\u00e6rk, der l\u00e6rer m\u00e5lh\u00f8jttalerens karakteristika og adskiller deres stemme fra forstyrrende h\u00f8jttalere ved hj\u00e6lp af retningsinformation.<\/span><\/li>\n
  3. De indl\u00e6rte karakteristika for m\u00e5ltaleren, repr\u00e6senteret som en indlejringsvektor, indl\u00e6ses derefter i et andet neuralt netv\u00e6rk, der er designet til at udtr\u00e6kke m\u00e5ltalen fra en kakofoni af talere.<\/span><\/li>\n
  4. N\u00e5r m\u00e5lh\u00f8jttalerens karakteristika er blevet l\u00e6rt i indskrivningsfasen, kan brugeren se i alle retninger, bev\u00e6ge hovedet eller g\u00e5 rundt, mens han stadig h\u00f8rer m\u00e5lh\u00f8jttaleren.<\/span><\/li>\n
  5. TSH-systemet behandler l\u00f8bende den indkommende lyd og bruger den indl\u00e6rte h\u00f8jttalerindlejring til at isolere og forst\u00e6rke m\u00e5lh\u00f8jttalerens stemme, mens andre stemmer og baggrundsst\u00f8j undertrykkes.<\/span><\/li>\n<\/ol>\n

    Den nuv\u00e6rende prototype kan kun effektivt tilmelde en m\u00e5lrettet h\u00f8jttaler, hvis stemme er h\u00f8jest i en bestemt retning, men holdet arbejder p\u00e5<\/span>\u00a0forbedre systemet til at h\u00e5ndtere mere komplekse scenarier med forskellige, varierede lydkilder.<\/span><\/p>\n

    Samuele Cornell, forsker ved Carnegie Mellon University's Language Technologies Institute, roser forskningen for dens klare anvendelser i den virkelige verden og siger: \"Jeg synes, det er et skridt i den rigtige retning. Det er et frisk pust.\"<\/span><\/p>\n

    TSH-systemet er i \u00f8jeblikket et proof of concept, men forskerne er i forhandlinger om at integrere teknologien i popul\u00e6re m\u00e6rker af st\u00f8jreducerende \u00f8repropper og g\u00f8re den tilg\u00e6ngelig for h\u00f8reapparater.\u00a0<\/span><\/p>\n

    Sammen med forbedret lyd- og taleanalyse, som tog et stort spring fremad med GPT-4o<\/a>Med den nye teknologi vil personer med b\u00e5de syns- og h\u00f8reneds\u00e6ttelse bedre kunne f\u00e5 kontakt med den sanselige verden omkring dem.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Forskere ved University of Washington har udviklet et AI-system, der g\u00f8r det muligt for st\u00f8jreducerende hovedtelefoner at isolere og forst\u00e6rke en enkelt stemme i et overfyldt, st\u00f8jende milj\u00f8. Teknologien, der kaldes Target Speech Hearing (TSH), g\u00f8r det muligt for brugerne at v\u00e6lge en bestemt person at lytte til ved blot at se p\u00e5 dem i et par sekunder. TSH-systemet l\u00f8ser en almindelig udfordring for st\u00f8jreducerende hovedtelefoner: Selv om de effektivt reducerer den omgivende st\u00f8j, g\u00f8r de det uden at skelne, hvilket g\u00f8r det vanskeligt for brugerne at h\u00f8re specifikke lyde, som de m\u00e5ske gerne vil fokusere p\u00e5. Som Shyam Gollakota, der er professor ved University of Washington og<\/p>","protected":false},"author":2,"featured_media":12621,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[596],"class_list":["post-12620","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-text-to-audio"],"yoast_head":"\nAI headphones let users focus on a single voice in noisy environments | DailyAI<\/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:\/\/dailyai.com\/da\/2024\/05\/ai-headphones-let-users-focus-on-a-single-voice-in-noisy-environments\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI headphones let users focus on a single voice in noisy environments | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers at the University of Washington have developed an AI system that allows noise-canceling headphones to isolate and amplify a single voice in a crowded, noisy environment.\u00a0 The technology, called Target Speech Hearing (TSH), enables users to select a specific person to listen to by simply looking at them for a few seconds. The TSH system addresses a common challenge faced by noise-canceling headphones: while they effectively reduce ambient noise, they do so indiscriminately, making it difficult for users to hear specific sounds they might want to focus on.\u00a0 As Shyam Gollakota, a professor at the University of Washington and\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/da\/2024\/05\/ai-headphones-let-users-focus-on-a-single-voice-in-noisy-environments\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-05-28T07:19:33+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/DALL\u00b7E-2024-05-28-07.17.49-A-high-quality-landscape-image-depicting-a-person-using-AI-powered-headphones-in-a-noisy-environment-such-as-a-busy-cafe-or-street.-The-headphones-ar.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Sam Jeans\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Skrevet af\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sam Jeans\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimeret l\u00e6setid\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutter\" \/>\n<script type=\"application\/ld+json\" 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