Signal and image analysis for speech science
In collaboration with linguists and speech scientists, the Laboratoire de traitement de l’information en santé (LATIS) has developed tools to facilitate the study of articulatory movements (tongue, lips, etc.) involved in speech production in healthy adult speakers, children, speakers with articulatory impairments or second language learners.
Several new funded Masters thesis projects are currently offered at the LATIS in this context. These projects will aim at developing various building blocks towards a framework allowing the multi- modal recording and analysis of articulatory motion during speech. The modalities involved include ultrasound imaging of the tongue, video recordings of the lips and audio recordings of speech itself. Students will contribute to the development of (1) statistical models (including machine learning models) to characterize tongue shape and motion based on tongue contours automatically extracted from ultrasound images using our pre-existing tools; (2) automated tools for tracking the inner contour of the moving lips in video sequences, accounting for variability in the appearance of individuals; (3) automated tools to align two or more audio speech signals from similar utterances (either between or within speakers) over the time dimension, which would allow meaningful comparisons of articulatory gestures between speakers or populations of speakers
Curious and self-motivated candidates interested in interdisciplinary research are sought for these projects. Students with a computer science or engineering background should have good programming skills. Knowledge or experience in image processing and/or computer vision and/or signal processing would be assets. Applications from students with a linguistics/speech science/language education will also be considered. In this case, knowledge in phonetics and in quantitative methods are required. Basic programming skills (e.g. in Python) would be an asset.
The LATIS is a welcoming and inclusive research environment whose success depends, among various factors, on the diversity of its members. Therefore, applications from women, indigenous students, students belonging to visible minorities, students with disabilities or representing neurodiversity, students of all origins and all sexual orientations are highly encouraged.
Applications should include an up-to-date CV, all university transcripts to this day and a written work sample in French, English or Spanish (e.g., a scientific article, a final year project report, an internship report, etc.).
Desired program of studies
Masters with project, Masters with thesis
Intelligent and Autonomous Systems, Health Technologies, Software Systems, Multimedia and Cybersecurity
Funding is available for students in the Masters with thesis program
Partner involved :Projects will be in collaboration with speech scientist from other universitiese
Starting: As soon as possible
Conformity: Presence of human participants