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Modules that download and verify local offline speech recognition models.
Distinct from On-Device Speech Recognizers: Distinct from On-Device Speech Recognizers: specifically targets model downloading and verification routines rather than the runtime inference engine.
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Expo Speech Recognition is a cross-platform mobile module that converts live microphone audio and pre-recorded files into text using native speech engines. It provides offline speech recognition capabilities by downloading and verifying local speech models to enable on-device processing without an active network connection. The library includes session lifecycle management to start, stop, or abort recording, alongside real-time spoken language detection with confidence scoring. It emits volume change events for metering interfaces, handles audio session configuration and routing, and persist
Downloads and verifies on-device speech models to enable offline transcription capability.