Computational Bioacoustics

The science of sound production, dispersion, and perception in animals, powered by signal processing and modern machine learning.

Fundamental principles of acoustic physics in air and water, sound pressure levels, frequency attenuation, and biological acoustic ecology.

Piezoelectric sensors, pre-amplifiers, sampling rate requirements for ultrasonic clicks, and calibration in dynamic ocean environments.

Autonomous seafloor recorders, towed hydrophone arrays, and continuous acoustic monitoring for biodiversity and population density estimation.

Short-time Fourier transforms (STFT), Mel-scale representations, and wavelets for interpreting frequency-modulated whistles and pulse trains.

From hand-crafted random forest classifiers to modern convolutional networks and self-supervised audio representations (BirdNET, Perch).

Lit

Benchmark corpora containing annotated marine and terrestrial audio for training and evaluating detection algorithms.