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Awesome GitHub RepositoriesPrivacy-Preserving Runtimes
Execution environments that ensure data processing remains local to the host device to maintain user privacy.
Distinguishing note: Focuses on the privacy and local-only execution aspect rather than general-purpose speech recognition.
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Awesome Privacy-Preserving Runtimes GitHub Repositories
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- ggml-org/whisper.cpp
ggml-org/whisper.cpp
46,843View on GitHubWhisper.cpp is a high-performance, local-first speech recognition engine designed to run large-scale machine learning models on consumer hardware. It functions as a portable library that converts audio into text, supporting both static file transcription and real-time stream processing. By utilizing a lightweight inference engine and weight quantization, the project minimizes memory and compute overhead, allowing for efficient execution without reliance on external cloud APIs or internet connectivity. The project distinguishes itself through a hardware-agnostic compute abstraction that offloa
A privacy-focused execution environment that performs speech recognition entirely on the host device without requiring external network connectivity or cloud services.
C++inferenceopenaispeech-recognition
