Episode 47 of Mobile Development with Fexingo explores how mobile apps are now using on-device AI for real-time lip reading. Lucas and Luna break down the technology behind visual speech recognition, its current accuracy rates, and practical use cases like accessibility for the deaf and hard-of-hearing, silent command input in noisy environments, and privacy-preserving authentication. They discuss the neural network architecture, training data requirements, and the trade-offs between accuracy and latency. Specific examples include Google's Live Caption expansion and a startup called ReadAlong that uses lip-reading AI for language learning. The hosts also touch on ethical concerns around consent and surveillance, and how on-device processing mitigates privacy risks. As always, no ads — listener-supported at buy me a coffee dot com slash fexingo.

#MobileApps #OnDeviceAI #LipReading #VisualSpeechRecognition #Accessibility #DeafCommunity #Privacy #AI #MachineLearning #NeuralNetworks #Google #LiveCaption #ReadAlong #LanguageLearning #Technology #FexingoBusiness #BusinessPodcast #MobileDevelopment

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