Search Results for author:
Found 5 papers, 2 papers with code
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging devices.
Parsing Birdsong with Deep Audio Embeddings
Monitoring of bird populations has played a vital role in conservation efforts and in understanding biodiversity loss.
Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization
This paper proposes to perform unsupervised detection of bioacoustic events by pooling the magnitudes of spectrogram frames after per-channel energy normalization (PCEN).
GIBBONFINDR: An R package for the detection and classification of acoustic signals
The recent improvements in recording technology, data storage and battery life have led to an increased interest in the use of passive acoustic monitoring for a variety of research questions.
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System
Reliable identification of bird species in recorded audio files would be a transformative tool for researchers, conservation biologists, and birders.
