Shankar-16 / Cough Diagnosis system using TinyML Public

Target: Cortex-M4F 80MHz Clone this project

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Cough Diagnosis system using TinyML

Keyword spotting

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Data (32 samples)

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N3

ID: 73020141

Label: Noise

Sample length: 1m 0s

N9

ID: 73020150

Label: Noise

Sample length: 10s

N2

ID: 73020143

Label: Noise

Sample length: 1m 0s

C6

ID: 73020158

Label: Cough

Sample length: 3s

C9

ID: 73020159

Label: Cough

Sample length: 3s

C4

ID: 73020151

Label: Cough

Sample length: 3s

N10

ID: 73020149

Label: Noise

Sample length: 20s

C8

ID: 73020156

Label: Cough

Sample length: 5s

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

94.2%

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

Latency

172 ms.

Peak RAM usage

16.8K

Flash usage

33.1K

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Dataset summary

Data collected

10m 58s

Sensor

audio @ 16KHz

Labels

Cough, Noise

Project info

Project ID	48602
Project version	1
License	No license attached
No. of views	1,703
No. of clones	2