![]() ![]() The model has all the languages stored together in a way that makes it impossible to remove just some languages. ‣ Can I delete some of the languages to save space? IOS apps are fundamentally restricted from operating in the background for extended periods. ‣ Why must I keep the iOS app open while it transcribes? However, performance is expected to improve in the coming months. Rather than asking why it's so large, the real question is how is it so small. The app delivers the highest quality transcription on the market for 100 different languages. Export the transcription and edit it in a proper text editor. I tried using free text to speech websites and put a whisper effect and still didn't come up with the same results as Suda51. ![]() ![]() The app was made possible thanks to Whisper by OpenAI and whisper.cpp by Georgi Gerganov. But, I was wondering how to replicate the classic text to speech voice Suda51 uses in most his games, e.g: when you start a boss mission in NMH And the bosses name is said in a text to speech voice. Supports audio in 100 different languages:Īfrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Bangla, Bashkir, Basque, Belarusian, Bosnian, Breton, Bulgarian, Burmese, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Faroese, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Lao, Latin, Latvian, Lingala, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Marathi, Mongolian, Māori, Nepali, Norwegian, Norwegian Nynorsk, Occitan, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskrit, Serbian, Shona, Sindhi, Sinhala, Slovak, Slovenian, Somali, Spanish, Swahili, Swedish, Tagalog, Tajik, Tamil, Tatar, Telugu, Thai, Tibetan, Turkish, Turkmen, Ukrainian, Urdu, Uzbek, Vietnamese, Welsh, Yiddish, Yoruba The app requires a Mac with at least 16 GB of RAM. You can export the transcription as subtitles too. The transcription is powered by OpenAI's Whisper running locally on your device. Easily convert speech to text from meetings, lectures, and more. ![]()
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