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.
Resources in the audioBLAST content delivery network
Simple python eReader with smart ambient sounds/music to match the current page setting via Spotify API.
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.
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