whisper_android and whisper.unity
These are ecosystem siblings—both are platform-specific implementations of the same underlying Whisper model (one using TensorFlow Lite for Android, the other using whisper.cpp for Unity3D), enabling offline speech recognition across different development environments rather than competing with each other.
About whisper_android
vilassn/whisper_android
Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android
This project offers pre-built Android apps and code examples to add offline speech recognition capabilities to Android devices. It takes spoken audio (like a voice recording) and converts it into text, all without needing an internet connection. This is for Android developers who want to integrate powerful speech-to-text features into their mobile applications.
About whisper.unity
Macoron/whisper.unity
Running speech to text model (whisper.cpp) in Unity3d on your local machine.
This helps game developers and other Unity creators incorporate real-time, high-quality speech-to-text functionality directly into their applications. It takes spoken audio input from a user's microphone and converts it into written text, even translating between languages. Anyone building interactive experiences in Unity for desktop, mobile, or mixed reality can use this.
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