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Source channel @olddriverGDstudy · Post #9 · Mar 17

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#语录 凡哥语录 也许大家会觉得这里规矩多，甚至去年我还听说别人评价我们这是集中营，可是到头来，所谓“自由”的那些群如今一个个都凉了，只有我们健康持续的发展着，大队就是个平台，平台是属于大家的，我们就是帮你们维持好正常运营，别的真没多想，其实你们扪心自问，应该也有个中肯的评价吧 你这不够推拉，不能这么舔，你要说，我考虑一下，看你表现，下次给你准备点小惊喜 找女朋友炮友什么的，不能一味舔狗，要调动妹子的注意力和心情，不是说要pua人家，但是人pua不也是强调以我为主，讲究拉扯么，这个也一样的呀，当然啦，面对🐔还是给钱实在点，别整那些有的没的

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Ali Ahmad

@AlisherAhmatovich · Post #1189 · 01/09/2025, 04:15 PM

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O'zbekcha STT (Speech-to-Text) uchun benchmarking v1 tayyor! O'zbek tilida nutqni matnga aylantirish bo'yicha dastlabki etalon tizimni yaratdik! Ushbu jarayonda: ✅ Adabiy O'zbek tili ✅ Turli hududiy shevalar ✅ Musiqalar va suhbatlar ✅ Shovqinli audiolar bilan o’zimizni va bozordagi mavjud modellarni sinab ko'rdik. Tez orada natijalarni va benchmarkni e’lon qilamiz, hamda benchmarkni doimiy yangilab borish niyatimiz bor. Benchmark mezonlari: - WER (Word Error Rate) - So’zlar xatolik darajasi. - CER (Character Error Rate) – Harflar xatolik darajasi. Bu nafaqat texnologik rivojlanish, balki O'zbek tilining raqamli muhitda mustahkam o'rin egallashi yo'lida muhim qadamdir. Maqsadimiz – O'zbekcha STT modellarining aniq va sifatli ishlashini ta'minlashdir. Kelajak rejalari: - Test natijalarini batafsil tahlil qilib, modellarni yanada takomillashtirish. O'zbek tili texnologiyalari rivoji uchun birgalikda ishlashda davom etamiz! STT modelimizni @aishaovozbot’da yoki aisha.group’da sinab ko’rishingiz mumkin. #aisha#stt @elzodxon

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