About Mila
Founded in 1993 by Professor Yoshua Bengio of the Université de Montréal, Mila is a research institute in artificial intelligence that rallies over 500 researchers specializing in the field of machine learning. Based in Montreal, Mila’s mission is to be a global pole for scientific advances that inspire innovation and the development of AI for the benefit of all.
Since 2017, Mila is the result of a partnership between the Université de Montréal and McGill University, closely linked with Polytechnique Montréal and HEC Montréal. Today, Mila gathers in its offices a vibrant community of professors, students, industrial partners and startups working in AI, making the institute the world’s largest academic research center in machine learning.
Mila, a non-profit organization, is internationally recognized for its significant contributions to machine learning, especially in the areas of language modelling, machine translation, object recognition and generative models.
About the Role
Facilitation of assessment for speech and language disorders via automatic speech recognition
Seeking candidates for a 3-6 month remote internship under the supervision of Mirco Ravanelli, PhD (Mila postdoctoral fellow), to work on a collaborative project with Aparna Nadig PhD (McGill University) and Susan Rvachew PhD (McGill University). The project Facilitation of assessment for speech and language disorders via automatic speech recognition, aims to apply automatic phoneme recognition technology to score patient’s speech responses to a simple but powerful test used by speech language pathologists. This type of digital application has the potential to increase clinical use of this assessment technique and improve the efficacy of intervention for large numbers of children and adults with speech and language disorders. The project is connected with the SpeechBrain toolkit, which is a novel open-source all-in-one speech processing toolkit recently released to the community (https://speechbrain.github.io/, https://github.com/speechbrain/speechbrain).
The ideal candidate should:
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Have hands-on experience with deep learning and speech recognition with good publication records in this field.
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Fluent with Python and PyTorch
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Familiar with HPC/GPU clusters
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Familiar with GIT
Participation in open-source projects is well-considered. The internship will be remote and supposed to start in June.