whisper_android and RuntimeSpeechRecognizer
These are ecosystem siblings—both are independent implementations of OpenAI's Whisper model optimized for different platforms (Android via TensorFlow Lite and Unreal Engine via whisper.cpp), rather than tools designed to work together or replace 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 RuntimeSpeechRecognizer
gtreshchev/RuntimeSpeechRecognizer
Cross-platform, real-time, offline speech recognition plugin for Unreal Engine. Based on Whisper OpenAI technology, whisper.cpp.
Leverages whisper.cpp for local inference without external API calls, enabling private audio processing entirely on-device. Provides both C++ and Blueprint APIs for Unreal Engine integration, with support for multiple audio input sources and real-time streaming transcription. Includes automatic model downloading and caching, allowing developers to embed various Whisper model sizes optimized for accuracy versus performance trade-offs.
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