Shakhizat Nurgaliyev / Audio classification using Arduino GIGA R1 WiFi Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

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Audio classification using Arduino GIGA R1 WiFi

Audio

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Data (3,375 samples)

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96

ID: 762741709

Label: speech

Sample length: 2s

289

ID: 762740291

Label: music

Sample length: 2s

196

ID: 762741582

Label: speech

Sample length: 2s

290

ID: 762741471

Label: speech

Sample length: 2s

459.wav

ID: 762741861

Label: noise

Sample length: 2s

490

ID: 762740042

Label: music

Sample length: 2s

172.wav

ID: 762743016

Label: music

Sample length: 2s

102

ID: 762741119

Label: music

Sample length: 2s

Model accuracy (Unoptimized (float32))

Validation set

91.1%

Test set

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Quantized (int8))

Latency

1010 ms.

Peak RAM usage

80.1K

Flash usage

54.0K

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Dataset summary

Data collected

1h 52m 30s

Sensor

audio @ 32KHz

Labels

music, noise, speech

Project info

Project ID	321865
Project version	1
License	Apache 2.0
No. of views	3,165
No. of clones	4