Edge Impulse Inc. / Performance Calibration: Bird sound classifier Public

Performance Calibration: Bird sound classifier

Classifies audio as representative of either the house sparrow, rose-ringed parakeet, or background noise.

Audio

About this project

Have you ever wondered how to use your Edge Impulse project's Performance calibration feature to optimize your audio detection models? Performance calibration allows you to test, fine-tune, and simulate running your model with continuous real-world or synthetically generated audio data streams to gain an immediate understanding of how your model will perform in the field. Clone this project to build an embedded ML project to detect various bird calls in your environment from your device's microphone input!

Sensor & Block Information

  • Microphone audio data (.wav files) @ 16000Hz
  • MFCC DSP block for non-human voice audio
  • Neural Network Classifier with prediction outputs: "housesparrow", "roseringedparakeet", "noise"

bird.jpeg

housesparrow.1sari914
housesparrow.1sarh2mr
housesparrow.1sari0fr
roseringedparakeet.1sarlidl
roseringedparakeet.1sarm19q
roseringedparakeet.1sarkq1f
roseringedparakeet.1sarm5mm
roseringedparakeet.1sarkp0t

Run this model

On any device

Dataset summary

Data collected
2h 33m 47s
Sensor
audio @ 16KHz
Labels
housesparrow, noise, roseringedparakeet

Project info

Project ID 16060
Project version 3
License BSD 3-Clause Clear
No. of views 410,746
No. of clones 113