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Get Searched with Radioship
Get your audio searched by search engines and build your own audio archive!
RADIOSHIP is your open-source step-by-step solution for your broadcast to be found by search engines, even for rare languages! (This is our temporary site, but you are on the right place!)
Our Open-Source Radioship Toolkit
Gives you the know-how to develop a system to index your audio broadcasts
Explains how to develop a sufficient size of recorded corpus for your language if you lack data
Shows you how to create a searchable audio archive
Enables you to adapt it to your own language.
What is Radioship?
Soon we will be out with more information regarding the project complete with case studies and other great materials. In the meantime take a look at these:
For journalists and broadcasters who don't like techie stuff
It is a project that helps community radios and broadcasters who have no access to expensive search solution, or whose languages are not supported by most solution to be searched: to be included in search engines and to create searchable audio archives.
For techies who don't like business talk
You can find our free and open-source transcriber command line interface on
and our language model, that you can adapt to your own language on
For those in doubt about their language
What is unique about Radioship that it is a good solution when you have no money to buy gigantic audio archives, or where these archives do not exist at all.
Radioship employes an AI solution that uses a very small amount of training data to be able to do the job. So you will only have to collect a very small audio sample of about 200-300 hours.
And will show you how we did it for Hungarian – it will surely work on your language as well!
Take a look at how we developed the toolkit.
Ready to get started? Create and Account
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Who We Are?
Radioship has been designed and built by a diverse team including journalitsts, machine learning, natural language process experts, data scientists and service designers.
Tamara Tóth
project manager
Helga Fázold
journalist
Zoltán Varjú
NLP specialist
Emese Stork
service designer
József Venczeli
data scientist
Orsolya Putz
data engineer
Gergely Gazda
product engineer
Edit Köles
project manager
Szabolcs Kincse
journalistTamara Tóth
project manager