Offline AI Speech Recognition to Text on a $10 ESP32 Chip
Speech recognition is often associated with resource-intensive systems, but Better Stack highlights how the Whistle speech-to-text model operates on a $10 ESP32S3 microcontroller. Developed by Cactus Compute, Whistle is a 16.9 MB model that runs entirely offline, supporting seven languages, including English, French and German. The setup includes an INMP441 digital microphone for capturing audio,
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