AI system for the automated generation of audio files from article texts

Services

Business Consulting

Custom Software

Industries

News and Media Industry

Client

Handelsblatt Media Group

Period

März 2024 - Today

An article about the described project on the Handelsblatt website

Development of a specialised AI-supported system for the automatic generation of audio files from article texts. More and more people are consuming content on the go – while commuting, exercising or in their everyday lives. The growing popularity of podcasts shows how much demand for audio content has increased. Automatic audio generation makes it possible to convert written articles into this format, making them accessible to a wider audience – especially people who don't have time to read or prefer to listen to content.

The system uses advanced deep learning algorithms that are specifically tailored to the challenges of article audio generation, such as natural intonation, appropriate emphasis and the correct pronunciation of technical terminology. Continuous training and optimisation ensure high quality and naturalness, enabling editorial teams and content creators to convert and distribute their content more efficiently in audio formats.

Credits

Lukas Famula

Technologies

Python
Django
Azure AD
Azure Cloud
Docker
Kubernetes
Atlassian JIRA
Azure DevOps
Git