Signature Work @ DKU: Large Scale Bird Sound Recognition in China Region
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Updated
May 4, 2022 - Python
Signature Work @ DKU: Large Scale Bird Sound Recognition in China Region
Dash app to visualize acoustic spaces occupied by birds using dimensionality reduction techniques. Demo on Maputo Special Reserve, Mozambique.
The Wytham Great Tit Song Dataset: A densely sampled and richly annotated acoustic dataset from a wild bird population
Bird Song Classifier
ML miniproject to identify Venezuelan birdsongs. Pretty much experimental.
A docker-based Django application utilizing birdnetlib
A realtime acoustic bird classification system for the Raspberry Pi 4/5, based on BirdNET-Pi
Machine learning applied to soundscape audio.
A Python library for identifying bird species by their sounds.
easybird: Python toolkit for Bird Activity Detection (BAD)
Experiment testing the feasibility of individual bird recognition from audio recordings
Automated annotation of bird song with multi-channel time-frequency input
Bird Sound Recognize
As part of a practical ecology course in the first year of biology at the ENS in Lyon, we used recorded strophes from different bird species to reconstruct audio files for broadcast to Eurasian blackcap in order to study their terrotorial behaviour in relation to both conspecific and heterospecific males.
Unsupervised birdsong separation for classification
open-source software solution for bird song recognition at the network edge
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