Louis Moreau / Arduino KWS Public

Louis Moreau / Arduino KWS

This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.

Keyword spotting

Creating your first impulse (100% complete)

Acquire data

Every Machine Learning project starts with data. You can capture data from a development board or your phone, or import data you already collected.

Design an impulse

Teach the model to interpret previously unseen data, based on historical data. Use this to categorize new data, or to find anomalies in sensor readings.

Deploy

Package the complete impulse up, from signal processing code to trained model, and deploy it on your device. This ensures that the impulse runs with low latency and without requiring a network connection.

Download block output

Title Type Size
MFE training data NPY file 345 windows
MFE training labels NPY file 345 windows
MFE testing data NPY file 70 windows
MFE testing labels NPY file 70 windows
Transfer learning (Keyword Spotting) model TensorFlow Lite (float32) 216 KB
Transfer learning (Keyword Spotting) model TensorFlow Lite (int8 quantized) 101 KB
Transfer learning (Keyword Spotting) model TensorFlow SavedModel 243 KB
Transfer learning (Keyword Spotting) model Keras h5 model 206 KB

Clone project

You are viewing a public Edge Impulse project. Clone this project to add data or make changes.

Summary

Data collected
7m 2s

Project info

Project ID 142511
Project version 1
License Apache 2.0