David Schwarz / Acoustic Anomaly Detection - TI LaunchPad 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.

Acoustic Anomaly Detection - TI LaunchPad

Detect anomalous sounds of glass breaking using the DCASE rare sound events dataset: http://dcase.community/challenge2017/task-rare-sound-event-detection-results

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 (365 samples)

View all

360621.2ia6svp6.s8

ID: 51139813

Label: glassbreak

Sample length: 1s

noise.2ie5mnlm

ID: 51139463

Label: background

Sample length: 1s

320127.2ia6st2i.s1

ID: 51139777

Label: glassbreak

Sample length: 2s

noise.2ie5jc41

ID: 51139615

Label: background

Sample length: 1s

noise.2ie5pe61

ID: 51139395

Label: background

Sample length: 1s

noise.2ie5jbvd

ID: 51139619

Label: background

Sample length: 1s

noise.2ie5lasb

ID: 51139514

Label: background

Sample length: 1s

noise.2ie5k99n

ID: 51139559

Label: background

Sample length: 1s

Model accuracy (Unoptimized (float32))

Validation set

95.6%

Test set

On-device performance (Cortex-M4F 80MHz, Quantized (int8))

Latency

60 ms.

Peak RAM usage

7.2K

Flash usage

44.0K

Run this model

On any device

Clone project

Dataset summary

Data collected

9m 37s

Sensor

audio @ 16KHz

Labels

background, glassbreak

Project info

Project ID	52625
Project version	2
License	BSD 3-Clause Clear
No. of views	30,528
No. of clones	9