Alternatives and similar repositories for emu

Users that are interested in emu are comparing it to the libraries listed below

• QutEcoacoustics / audio-analysis
  The audio analysis code (AnalysisPrograms.exe) for the QUT Ecoacoustics Research Group
  ☆55Updated 2 years ago
• leabouffaut / BenchmarkDatasetCreator
  Bioacoustic projects are sitting on a goldmine of expert-labeled datasets. We want to create a standardized pipeline for creating, storin…
  ☆11Updated last year
• rhine3 / bioacoustics-software
  A list of free and paid software available for bioacoustic analyses
  ☆105Updated 5 months ago
• mbsantiago / soundevent
  An open-source package providing standardized tools for sound event analysis and data management.
  ☆21Updated 2 months ago
• scikit-maad / scikit-maad
  Open-source and modular toolbox for quantitative soundscape analysis in Python
  ☆129Updated 3 weeks ago
• meil-brcas-org / soundscape_IR
  An open toolbox of soundscape information retrieval
  ☆36Updated 5 months ago
• YvesBas / Tadarida-C
  A Toolbox for Animal Detection on Acoustic Recordings Integrating Discriminant Analysis - Classification part
  ☆21Updated last year
• brain-bzh / SilentCities
  ☆12Updated last year
• ecomontec / ecoSound-web
  Web application for ecoacoustics to manage, navigate, visualise, annotate, and analyse soundscape recordings.
  ☆26Updated last week
• ear-team / bambird
  Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952
  ☆29Updated 4 months ago
• rhine3 / audiomoth-guide
  Resources, tips, and tricks to get the most out of your AudioMoth ARUs
  ☆83Updated last year
• shyamblast / Koogu
  Koogu is a Python package for developing and using Machine Learning (ML) solutions in Animal Bioacoustics.
  ☆52Updated 2 months ago
• nationalparkservice / NSNSDAcoustics
  An R package for NSNSD bioacoustics workflows, including functions for using BirdNET and converting to sound pressure levels
  ☆30Updated last month
• mbsantiago / whombat
  Audio Annotation Tool for ML development
  ☆76Updated 2 weeks ago
• kitzeslab / opensoundscape
  Open source, scalable software for the analysis of bioacoustic recordings
  ☆187Updated this week
• ChristianBergler / ANIMAL-SPOT
  An Animal Independent Deep Learning Framework for Bioacoustic Signal Segmentation and Classification Including a Detailed User-Guide
  ☆43Updated last year
• kitzeslab / bioacoustics-model-zoo
  Pre-trained models for bioacoustic classification tasks
  ☆48Updated 3 weeks ago
• fzyukio / koe
  Koe: open-source software to visualise, segment and classify acoustic units in animal vocalisations
  ☆41Updated last year
• kitzeslab / audiomoth-performance
  A quantitative report of audio recording quality for the AudioMoth
  ☆17Updated 2 years ago
• patriceguyot / Acoustic_Indices
  Acoustic indices in python
  ☆49Updated last year
• gvanhorn38 / iNatSounds
  iNatSounds Dataset
  ☆21Updated last year
• macaodha / batdetect2_GUI
  ☆13Updated 2 years ago
• nwolek / audiomoth-scripts
  A small collection of bash scripts for audio collected by the AudioMoth acoustic monitoring device.
  ☆29Updated last year
• bioacoustic-ai / bioacoustics-datasets
  This repository gathers the list of online publicly available bioacoustics datasets that can be used together with deep learning.
  ☆36Updated 2 weeks ago
• bmvandoren / Nighthawk
  Nighthawk is a machine learning model for acoustic monitoring of nocturnal bird migration.
  ☆41Updated last week
• bioacoustic-ai / bacpipe
  BioAcoustic Collection Pipeline
  ☆46Updated last week
• HaroldMills / Vesper
  Open source software for acoustic monitoring of nocturnal bird migration.
  ☆58Updated 2 months ago
• josafatburmeister / BirdSongIdentification
  Fully automated machine learning pipeline for bird sound recognition
  ☆27Updated 3 years ago
• nilomr / pykanto
  A python library for animal vocalisation analysis
  ☆37Updated 9 months ago
• lifewatch / pypam
  Python Passive Acoustic Analysis tool for Passive Acoustic Monitoring (PAM)
  ☆48Updated 4 months ago