stadiello/ecopulse-tiny-audio-classifier

Resume

Tiny audio classifier designed for environmental monitoring on ultra-low-power microcontrollers such as the Raspberry Pi Pico 2 W. The model classifies environmental sounds into six coarse classes and is optimized for TinyML deployment.

Specifications

Task: bioacoustic coarse classification

Classes: bird, human, motor, rain_wind, insect, animal

Input: log-mel spectrogram 149x40x1

Model size: 73.6 KB INT8

Target: Raspberry Pi Pico 2 W / TinyML

Test accuracy: 87.44 %

Datasets: ESC-50, FSD50K, InsectSet32, filtered bird dataset

Limitations: modèle expérimental, pas encore validé terrain

Usage

import tensorflow as tf

model = tf.keras.models.load_model("ecopulse_cnn.keras")