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Intro to TensorFlow Lite Part 3: Speech Recognition on Raspberry Pi | DigiKey
In this tutorial series, Shawn covers the basics for training a neural network with TensorFlow Lite to respond to a spoken word. This neural network model is deployed to a Raspberry Pi, where it can listen for the wake word in real time.
In this episode, Shawn provides the steps necessary to convert a Keras model to a TensorFlow Lite model, which is then deployed to a Raspberry Pi. The Pi will run a custom Python program that performs inference on captured audio data from a USB microphone. Upon hearing the wake word, the Pi can be made to perform any number of actions, but we’ll start by just flashing an LED.
Part List
| Abbildung | Hersteller-Teilenummer | Beschreibung | Verfügbare Menge | Preis | Details anzeigen | |
|---|---|---|---|---|---|---|
 |  | SC0130(J) | SBC 1.4GHZ 4 CORE 512MB RAM | 0 - Sofort | $20.00 | Details anzeigen |
|  | SC0194(9) | SBC 1.5GHZ 4 CORE 4GB RAM | 47 - Sofort | $44.00 | Details anzeigen |
 | 1898 | BREADBOARD-FRIENDLY PCB MOUNT MI | 0 - Sofort | $1.48 | Details anzeigen |
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