Peter Leth is a PhD fellow in Computer Vision at Aalborg University with nine years of research and applied experience focused on perception and AI for defence-related UAS systems. He develops multi-object tracking and segmentation methods alongside on-board visual localization and mapping, translating advanced research into robust embedded solutions. His academic trajectory in Medialogy (BSc and MSc) underpins a strong blend of software, media, and signal-processing skills applied to real-world robotics problems. Peter is also an active open-source localizer, maintaining Danish translations for Mozilla’s high-profile Common Voice project—an indicator of attention to usability and internationalization beyond core research. Based in Aalborg, he brings both hands-on prototyping experience from research roles and a practical orientation toward deployable perception pipelines.
9 years of coding experience
2 years of employment as a software developer
MASTER OF SCIENCE (MSC) IN MEDIALOGY, Computer Software and Media Applications, MASTER OF SCIENCE (MSC) IN MEDIALOGY, Computer Software and Media Applications at Aalborg University
Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
Role in this project:
Localization / Internationalization Specialist
Contributions:39 commits in 21 days
Contributions summary:Peter's commits primarily involve updating the Danish (da) localization files within the Common Voice project. They are making changes to the `messages.ftl` file, which contains the translated strings for the user interface. The changes include adding, modifying, and correcting Danish translations for various elements, indicating a focus on adapting the project's user interface for Danish speakers. The user is a key contributor in keeping the Danish language pack up to date.
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