DyniClick : open-source toolbox for stereo audio click detection, analysis, tracking and exploration
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Updated
Jun 27, 2018 - Python
DyniClick : open-source toolbox for stereo audio click detection, analysis, tracking and exploration
ADSP course project: Acoustics Recognition — Right Whale Redux
BirdCLEF 2018 implementation
ThinkBioT is an Bioacoustic sensor framework for the collection, processing and satellite transmission of Bio-Taxa Classification and Acoustic Indices data.
Source code for BMBF InnoTruck demo of BirdNET.
Hostetter, N. J., and J. A. Royle. 2020. Movement-assisted localization from acoustic telemetry data. Movement Ecology 8:15.
Using machine learning to detect beluga whale calls in hydrophone recordings
Workflow for anuran sound classification, using scikit-maad toolbox and machine learning techniques.
Multi-species bioacoustic classification using deep learning algorithms
Data analysis on response rates to inquiry call playbacks in Spix's disc-winged bars
Code for data preparation, training and evaluation of AI underlying Pod.Cast and OrcaHello projects.
methods to analyse multi-species bioacoustic datasets
Software for modeling outdoor sound propagation, including the influence of the ground effect, atmospheric attenuation, and turbulence
We try to extract some audio features from frog recordings using Python. The results are including waveplot, zero-crossing-rate, linear-freq spectogram, log-freq spectogram, power spectrum, MFCCs, delta MFCCs, and delta-delta MFCCs.
creating long-billed hermit song cultural evolution trees and analyzing evolutionary patterns
A pre-trained model and API for detecting humpback whale vocalizations in hydrophone recordings.
Passive Acoustic Monitoring and Transfer Learning
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