From a23bec1b8d1ad0c9dd9b7a3d6d86df0c448b8d6c Mon Sep 17 00:00:00 2001 From: Mattk70 Date: Sun, 28 Jan 2024 15:25:03 +0000 Subject: [PATCH] Updated Chirpity description for the 'showroom ' --- README.adoc | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.adoc b/README.adoc index 299aec2e..57a03904 100644 --- a/README.adoc +++ b/README.adoc @@ -189,9 +189,8 @@ It facilitates economical long-term monitoring, implemented with minimal persona Learn more at: https://oekofor.netlify.app/en/portfolio/ecopi-bird_en/[oekofor.netlify.app] | image:https://tuc.cloud/index.php/s/M27nZ4LmNaNEKMg/download/chirpity_logo.png[Chirpity,300,link=https://chirpity.mattkirkland.co.uk] -| *Chirpity Nocmig* + -Chirpity Nocmig uses cutting-edge Machine Learning to identify bird calls in both long audio recordings and shorter clips. -It supports various audio formats including WAV, MP3, OGG, and M4A. +| *Chirpity* + +Discover the wonders of bird identification with Chirpity, a desktop application powered by cutting-edge Machine Learning. With the option to choose between BirdNET or the native Chirpity model, finely tuned for Nocturnal Flight Calls, you have the flexibility to tailor your analysis to your specific needs. Perfect for enthusiasts and researchers alike, Chirpity is particularly well-suited for Nocmig and other extensive field recordings. Chirpity is available on both Windows and Mac platforms. Learn more at: https://chirpity.mattkirkland.co.uk[chirpity.mattkirkland.co.uk]