birdnet
Bird sound classifier
A Python library for identifying bird species by their sounds using deep learning and acoustic monitoring.
A Python library for identifying bird species by their sounds.
11 stars
5 watching
0 forks
Language: Python
last commit: 3 months ago acoustic-monitoringbioacousticsbirdsbirdsongdeep-learning
Related projects:
Repository | Description | Stars |
---|---|---|
birdnet-team/birdnetr | A wrapper package providing an R interface to the BirdNET Python package for automated bird sound ID analysis | 16 |
woheller69/whobird | An Android app that uses machine learning to identify bird species based on their sounds in real-time. | 323 |
kahst/birdnet-analyzer | Analyze scientific audio data using deep learning and machine learning techniques | 863 |
dbd-research-group/birdset | A comprehensive benchmark dataset collection for audio classification in avian bioacoustics, aiming to advance bird sound classification by providing diverse real-world evaluation use cases. | 25 |
ciiram/birdpy | Developing machine learning and signal processing models to monitor biodiversity using bird sounds | 6 |
drscotthawley/audio-classifier-keras-cnn | An audio classification system using a convolutional neural network to classify audio data | 160 |
soerenab/audiomnist | This project provides an implementation of a deep learning framework to classify audio signals and offers insights into the model's decision-making process using Explainable Artificial Intelligence (AI) techniques. | 347 |
vocalpy/vak | A Python framework for training and applying neural networks to acoustic communication research | 78 |
greenswayab/birds | A set of tools for evaluating and understanding the quality of biodiversity data | 5 |
bmvandoren/nighthawk | A machine learning model for detecting nocturnal bird migration sounds from audio recordings | 22 |
caiostringari/deepwaves | Develops deep neural networks to classify active wave breaking events | 17 |
chenyangkang/stemflow | A Python package for modeling and predicting bird abundance using citizen science data | 17 |
yongxuustc/dcase2017_task4_cvssp | A system for audio classification and detection using machine learning models | 4 |
peihaochen/regnet | An implementation of a neural network for generating sound from video sequences | 52 |
chenpf1025/idn | Provides tools and data for studying instance-dependent label noise in deep neural networks, with a focus on combating noisy labels | 35 |