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Annonce

9 janvier 2020

Machine learning for neural speech decoding


Catégorie : Post-doctorant


12-month Postdoctoral research position in machine learning for neural speech decoding



Place: GIPSA-lab(CNRS/UGA/Grenoble-INP) in collaboration with BrainTech laboratory (INSERM). Both laboratories are located on the same campus in Grenoble, France.

 

Team: CRISSP team@GIPSA-lab (Cognitive Robotics, Interactive System and Speech processing).

 

Context:

This position is part of the ANR (French National Research Agency) BrainSpeak project aiming at developing a Brain-Computer Interface (BCI) for speech rehabilitation, based on large-scale neural recordings. This post-doc position aims at developing new machine learning algorithms to improve the conversion of neural signals into an intelligible acoustic speech signal.

Mission:

Investigate deep learning approaches to map intracranial recordings (ECoG) to speech features (spectral, articulatory, or linguistic features). A particular focus will be put on 1) weakly or self-supervised training in order to deal with unlabeled, limited and sparse datasets, 2) introducing prior linguistic information for regularization (e.g. thanks to a neural language model) and 3) online adaptation of the conversion model to cope with potential drift in time of the neural responses.

 

Requirement and Profile:

 

Duration: 12 months

 

Salary (before tax) / Month €: Depending on the experience

 

Starting date: Early 2020

 

How to apply:

Send a ​cover letter​, a ​resume​, and ​references​ by email to:

Applications will be processed as they arise.

 

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