[{"data":1,"prerenderedAt":70},["ShallowReactive",2],{"/hall-of-fame/thorsten-mueller":3},{"speaker":4,"podcastCount":68,"pickOfTheDayCount":69},{"id":5,"sort":6,"slug":7,"academic_title":6,"first_name":8,"last_name":9,"occupation":10,"description":11,"website_url":12,"bluesky_url":6,"twitter_url":6,"linkedin_url":13,"youtube_url":14,"github_url":15,"instagram_url":6,"profile_image":16,"podcasts":28,"picks_of_the_day":48,"tags":65,"tagsPrepared":66,"podcastsPrepared":67},"5e763380-233d-415e-b077-4e6a519e6dce",null,"thorsten-mueller","Thorsten","Müller","Maintainer von Thorsten-Voice","\u003Cp>Thorsten M&uuml;ller ist IT-Spezialist und Gr&uuml;nder des Open-Source-Projekts Thorsten-Voice &ndash; und die Stimme dahinter. Mit seiner Stimmspende hat er frei verf&uuml;gbare Sprachmodelle geschaffen, die heute international in Forschung, Bildung und Community-Projekten genutzt werden.\u003C/p>\n\u003Cp>Neben seiner Arbeit in der IT ist er als Sprecher auf Konferenzen wie der FrOSCon oder beim programmier.bar Meetup sowie als Podcast-Gast aktiv. Sein Ziel: Sprachtechnologien frei und unabh&auml;ngig von gro&szlig;en Konzernen f&uuml;r alle verf&uuml;gbar zu machen.\u003C/p>","https://www.thorsten-voice.de/","https://www.linkedin.com/in/thorsten-m%C3%BCller-848a344/","https://www.youtube.com/@ThorstenMueller","https://github.com/thorstenMueller/Thorsten-Voice",{"id":17,"title":18,"description":6,"tags":6,"location":6,"filename_disk":19,"filename_download":20,"metadata":21,"type":22,"filesize":23,"modified_by":6,"modified_on":24,"embed":6,"uploaded_by":25,"uploaded_on":26,"folder":6,"width":27,"height":27,"charset":6,"duration":6},"1cea60b6-2784-4176-af08-dace3b8fcc51","Thorsten Müller Speaker Profile","1cea60b6-2784-4176-af08-dace3b8fcc51.png","Thorsten Müller_speaker_profile.png",{},"image/png","1383356","2025-09-09T12:16:49.658Z","11a655b6-bcfc-4c6c-a13c-68189e38edb9","2025-09-09T12:16:49.655Z",1024,[29],{"podcast":30},{"id":31,"slug":32,"published_on":33,"type":34,"number":35,"title":36,"audio_url":37,"cover_image":38},"3ec0c081-373b-420d-af02-acb7e7e7ef70","deep-dive-191-text-to-speech-mit-thorsten-mueller","2025-09-16T04:00:00.000Z","deep_dive","191","Text-to-Speech mit Thorsten Müller","https://www.buzzsprout.com/176239/episodes/17821955-deep-dive-191-text-to-speech-mit-thorsten-muller.mp3",{"id":39,"title":40,"description":6,"tags":6,"location":6,"filename_disk":41,"filename_download":42,"metadata":43,"type":22,"filesize":44,"modified_by":6,"modified_on":45,"embed":6,"uploaded_by":25,"uploaded_on":46,"folder":6,"width":47,"height":47,"charset":6,"duration":6},"703da2d8-08bd-42e6-b851-359fc6c90da4","191 Ig Fb Thorsten Müller","703da2d8-08bd-42e6-b851-359fc6c90da4.png","191_ig_fb_Thorsten Müller.png",{},"2221969","2025-09-09T12:16:22.478Z","2025-09-09T12:16:22.475Z",1500,[49],{"id":50,"name":51,"website_url":52,"description":53,"image":54},"fe064509-d728-4bca-a2d9-0b400311d0c1","Orpheus TTS","https://orpheustts.org/de","\u003Cp>Orpheus TTS geh&ouml;rt zu den ersten Open-Source-Projekten, die Text-to-Speech-Ans&auml;tze mit modernen Large Language Models (LLMs) verbinden. Orpheus TTS nutzt dabei Llama-3b, um die Sprachsynthese mit Emotionen, Intonation und Sprachmustern anzureichern. Au&szlig;erdem erm&ouml;glicht der Einsatz von KI das Klonen bestehender Stimmen mit relativ wenig Trainingsdaten (Zero-Shot-Cloning).\u003C/p>\n\u003Cp>Auch f&uuml;r die n&auml;chste Version der deutschen, quelloffenen Stimme \u003Ca href=\"https://www.thorsten-voice.de/\" target=\"_blank\" rel=\"noopener\">Thorsten-Voice\u003C/a> soll Orpheus TTS die Grundlage bilden.\u003C/p>",{"id":55,"title":6,"description":6,"tags":6,"location":6,"filename_disk":56,"filename_download":57,"metadata":58,"type":59,"filesize":60,"modified_by":6,"modified_on":61,"embed":6,"uploaded_by":25,"uploaded_on":62,"folder":6,"width":63,"height":64,"charset":6,"duration":6},"75347c5e-b730-4e09-a720-5b297582b811","75347c5e-b730-4e09-a720-5b297582b811.jpg","orpheustts-org-de.jpg",{},"image/jpeg","62367","2025-08-13T08:54:59.598Z","2025-08-13T08:54:59.596Z",1366,768,[],[],[30],503,461,1776184273368]