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Library for performing speech recognition, with support for several engines and APIs, online and offline. Recognize speech input from the microphone, transcribe an audio file, save audio data to an audio file. Show extended recognition results, calibrate the recognizer energy threshold for ambient noise levels (see recognizer_instance.energy_threshold for details). Listening to a microphone in the background, various other useful recognizer features. The easiest way to install this is using...

Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter.

...Import audio and video files into Buzz and export them as TXT, SRT, or VTT files. Buzz supports Whisper, Whisper.cpp, Faster Whisper, Whisper-compatible models from the Hugging Face repository, and the OpenAI Whisper API. Get linux versions from: - https://flathub.org/apps/io.github.chidiwilliams.Buzz - https://snapcraft.io/buzz Home page of Buzz https://github.com/chidiwilliams/buzz Note for Windows: App is not signed, you will get a warning when you install it. Select More info -> Run anyway.

This software convert speech to text using Java and Android application. With this software you can also search for text in Google. You can use offline speech to text with this application if you don't have Internet, you can find the steps in guide file. How to use: ----------------- 1- Install a software to convert the PC as router (EX: My Wifi Router) then connect your mobile with PC via wifi. 2- Install Smart Text to Speech.apk file on your phone. 3- Open "Smart Speech to Text.jar" java application on PC. 4- Launch Smart Speech to Text on your phone. 5- Click on "Speak Now" button in java application. 6- After you speak click on red circle button on your phone to stop speaking and to convert it to text or you can wait few seconds notice: --------- Speech that will converted relied on the language that installed on your phone...