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@testflightynoti · Post #38175 · 2026/05/12 19:04
#VoicePad#AI#Dictation Join the VoicePad AI Dictation beta on ✈️#TestFlight 🔗 Link: https://testflight.apple.com/join/bbmnyyS4 Shared by Dimitri
TGTGInsighttelegram intelligenceLIVE / telegram public index
前段时间一直被MajdataPlay的外键输入问题困扰：有玩家反映majplay会无征兆地出现拖判和吃音，但是内屏一切正常 因为我是第一次接触游戏开发，IO这方面也完全没经验 一开始我和bb本怀疑是线程调度的问题，即：IO线程时间片被其他线程挤占了，导致IO线程无法及时处理HID设备回报。为了验证这个猜想，我们尝试提高了IO线程的优先级，照旧 接下来我怀疑是我那套框架有问题：majplay是根据上一帧与这一帧的按键状态判断按键是不是"click"。为此我重写了这部分的实现，改进了IO线程与主线程之间的交互，问题照旧....... 到这里我已经怀疑这不是majplay的锅：IO线程没有任何异常，IO线程与主线程的交互没有问题，Note判定逻辑也没有问题，那就是设备确实没有回报给majplay或者设备发过来的回报中按键确实没有按下，但是大佬说hdd没有这种问题.....（人已经快崩溃了，这完全看不透也摸不着，因为我用单片机模拟玩家打高速纵连是完全没有问题的，我在家里用手台测试也没有问题） 到最后，bb本灵光一闪，说有没有可能是led刷新率过高，把按键控制板干爆炸了？我们让大佬把led刷新间隔从16ms改成100ms，吃音问题瞬间没有了，无语了 。。。。。。。。。。。。。。。。。。。。 adx是一个控制板同时管理按键和led，为什么我没有遇到吃音问题呢，因为我的手台不是adx的... #dev
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Посольство России в Индии
@RusEmbIndia_Ru · Post #14913 · 2026/04/14 08:01
Дорогие друзья! 📚 Русский дом в Нью-Дели приглашает вас принять участие в международной исторической акции «Диктант Победы». 📆 Ждем Вас 24 апреля в 12:00. 🔗 Язык диктанта - русский и английский. 🏢 Место проведения: Русский дом в Нью-Дели. 📍Адрес: 24, Фироз Шах Роуд, г. Нью-Дели. ✅ Вход для посетителей мероприятия - свободный. 🔗При себе необходимо обязательно иметь ID-карту (на бумажном носителе). 💎 Не упустите возможность стать частью важного события! Ждем Вас! #РусскийДом#Диктант#Индия Dear friends! 📚 The Russian House in New Delhi invites you to participate in the international historical campaign "Victory Dictation." 📆 We look forward to seeing you on April 24 at 12:00 p.m. 🔗 The language of the dictation is Russian and English. 🏢 Venue: Russian House in New Delhi. 📍Address: 24, Firoz Shah Road, New Delhi. ✅ Entrance for visitors to the dictation is free. 💎 Don't miss the opportunity to become part of an important event! We are waiting for you! #RussianHouse#Dictation#India
WhisperTux Simple #voice#dictation application for #Linux. Uses whisper.cpp for offline speech-to-text transcription. No fancy GPUs are required although whisper.cpp is capable of using them if available. Once your speech is transcribed, it is sent to a ydotool daemon that will write the text into the focused application. Features Local speech-to-text processing via whisper.cpp (no cloud dependencies) No expensive hardware required (works well on a plain x86 laptop with AVX instructions) Global keyboard shortcuts for system-wide operation Automatic text injection into focused applications Configurable whisper models and shortcuts https://github.com/cjams/whispertux #assistant#speech#stt