Student Assistant Call
BREVIT: Breathing Behaviour and Non-Lexical Vocalisations in Talk-in-Interaction
The BREVIT project investigates the fine details of human interaction, focusing on breathing behaviour and non-lexical vocalisations in conversations, across English, German, and French. The project uses multimodal data, including synchronised audio, video, and respiration data (for further information: sites.google.com/york.ac.uk/brevit/home)
Tasks & Responsibilities
The primary tasks involve data processing, synchronisation, and manual corrections of automatic segmentations and alignments.
● File synchronisation: Synchronising various types of data (video, audio, and respiration signals) with temporal precision and generating necessary file formats.
● Data processing: Running automatic segmentation and alignment workflows in WebMAUS. Preparing data accordingly by means of rough manual alignment.
● Manual correction: Reviewing and manually correcting output files following WebMAUS annotation to ensure high-quality data for analysis.
Requirements & Qualifications
● Languages: Professional command of English (team communication language); basic working knowledge of German and French (languages present in the corpus).
● Technical skills:
○ Prior experience with Praat is required as well as a solid background and interest in phonetics. Bonus: knowledge of ELAN or DaVinci Resolve (can otherwise be learned on the job).
○ A basic understanding of common audio and video formats, and their characteristics (sampling rate, resolution, etc.)
● Soft skills: Strong attention to detail, careful and responsible data handling.
Position Details
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Hours 8 hours per week |
Start Date October 1st (slight deviations can be considered) |
How to Apply
Interested candidates should send an email to Dr Sascha Schäfer (sschaefer@lst.uni-saarland.de) containing:
● A brief CV
● A short cover letter
Application deadline: August 17th, 12pm