If you would like to use one of MERIDIAN’s deep learning algorithms on your acoustic data, but aren’t comfortable with the command line interface or programming in Python, don’t despair. Now Kedgi is here to help you! Kedgi provides a user-friendly graphical interface enabling you to run MERIDIAN acoustic detection and classification software locally on your own machine through an internet browser window. Kedgi works on Windows, Mac, and Linux, and does not require use of command line tools or the terminal. To learn more about Kedgi, please go to Kedgi’s documentation.
MERIDIAN is searching for a Software Developer to help us build web applications for deep-learning supported audio analysis. Read the full job description here: https://dal.peopleadmin.ca/postings/5352