whisper_android and whisper.cpp.android
These are competitors offering alternative implementations of Whisper for Android—one leveraging TensorFlow Lite for inference while the other uses whisper.cpp with OpenCL acceleration—targeting the same use case of offline speech recognition on mobile devices.
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.cpp.android
godmode2k/whisper.cpp.android
whisper.cpp.android with CLBlast(OpenCL), Translation (Google ML-Kit) and TTS
This project offers an Android application that takes spoken audio as input and transcribes it into text, translates the text, and then speaks the translated text aloud. It's designed for someone who needs to quickly convert spoken words into another language's speech on their Android phone or tablet, useful for real-time translation or accessibility.
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