A neural network classifier for urban soundscapes
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Updated
Jan 24, 2024 - Jupyter Notebook
A neural network classifier for urban soundscapes
Sounds From The Scape
Tools for computing acoustic indices
The destination for soundscapes + podcasts. Easy to use, no ads, and no tracking.
Given multiple environment images generate soundscapes that characterize it
Reproduce graphical soundscape analysis for a sampling site.
A web-app that provides a soothing sound environment for relaxation and focus.
Dataset of soundscapes for different objects in a typical urban environment, categorized in fore- and background
Provides Urban Nature Project bioacoustic data to audioblast.org.
an aural cartography of porto, portugal coded in max/msp.
A Source engine soundscape player written in Vue.js
AI |art and image|
A background noise app where users can listen, post, and like many sounds. created with Ruby on Rails
Anchors is a tool to create and publish self-hosted, geo-located audio walks.
Streamline your ecoacoustic analysis with LEAVES, offering advanced tools for large-scale soundscape annotation and visualization. Join researchers and citizen scientists using LEAVES to analyze complex soundscapes faster and more accurately.
Resources in the audioBLAST content delivery network
Simple python eReader with smart ambient sounds/music to match the current page setting via Spotify API.
Add a description, image, and links to the soundscapes topic page so that developers can more easily learn about it.
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