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Intro to TensorFlow Lite Part 3: Speech Recognition on Raspberry Pi | Digi-Key Electronics

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.

2/27/2020 4:58:22 PM

Part List

ImageManufacturer Part NumberDescriptionAvailable QuantityView Details
RASPBERRY PI 3 MOD A+ BCM2837B0RASPBERRY PI 3 A+RASPBERRY PI 3 MOD A+ BCM2837B03793 - ImmediateView Details
RASPBERRY PI 4 MODEL B 4GB SDRAMRASPBERRY PI 4B/4GBRASPBERRY PI 4 MODEL B 4GB SDRAM2629 - ImmediateView Details
MINI USB MICROPHONE3367MINI USB MICROPHONE13 - ImmediateView Details