I’ve just lately crossed paths with this movie of the NCS2020 ″Decoding the neural processing of speech” talk by Tobias Reichenbach, PhD from the Imperial College London, held last February at the Institute of Neurosciences of the College of Barcelona.
You can read through a wee-abstract of the movie before watching it:
Abstract. Knowing speech in noisy backgrounds needs selective interest to a unique speaker. Human beings excel at this hard process, even though present speech recognition technological know-how continue to struggles when track record sound is loud. The neural mechanisms by which we procedure speech remain, on the other hand, badly recognized, not least thanks to the complexity of natural speech. In this article we explain the latest development acquired through making use of equipment-mastering to neuroimaging data of people listening to speech in distinctive forms of track record sound. In unique, we acquire statistical products to relate characteristic capabilities of speech this sort of as pitch, amplitude fluctuations and linguistic surprisal to neural measurements. We locate neural correlates of speech processing equally at the subcortical degree, related to the pitch, as perfectly as at the cortical degree, related to amplitude fluctuations and linguistic constructions. We also clearly show that some of these steps let diagnosing diseases of consciousness. Our conclusions may well be utilized in intelligent listening to aids that immediately alter speech processing to aid a consumer, as perfectly as in diagnostics of brain diseases.
In this article it goes!
Post written by Irene Vigué-Guix, PhD student in TIC operating on ongoing brain oscillations and conduct modulation, with an undergraduate degree in Biomedical Engineering and a Masters in Mind and Cognition. Authentic publication seems right here.