Zalmotek / Smart Appliance Control Using Voice Commands - Thingy:53 Public

Target: Cortex-M4F 80MHz Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.

Smart Appliance Control Using Voice Commands - Thingy:53

Keyword spotting

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (3,409 samples)

View all

unknown.0b09edd3_nohash_0

ID: 140840911

Label: Background

Sample length: 1s

noise.orig_train.Babble_2.wav.42000

ID: 140841742

Label: Background

Sample length: 1s

noise.orig_train.Traffic_1.wav.262000

ID: 140841617

Label: Background

Sample length: 1s

noise.orig_test.Babble_4.wav.2000

ID: 140841287

Label: Background

Sample length: 1s

noise.orig_train.Station_1.wav.173000

ID: 140842212

Label: Background

Sample length: 1s

noise.orig_train.Station_1.wav.216000

ID: 140842469

Label: Background

Sample length: 1s

noise.orig_test.Typing_2.wav.129000

ID: 140842417

Label: Background

Sample length: 1s

unknown.a7acbbeb_nohash_1

ID: 140840631

Label: Background

Sample length: 1s

Model accuracy (Unoptimized (float32))

Validation set

99.3%

Test set

97.5%

On-device performance (Cortex-M4F 80MHz, Unoptimized (float32))

Latency

189 ms.

Peak RAM usage

16.8K

Flash usage

26.1K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

56m 49s

Sensor

audio @ 16KHz

Labels

Background, Extractor, Kettle, Light

Project info

Project ID	145818
Project version	1
License	Apache 2.0
No. of views	286,039
No. of clones	27