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The IIT Centre for Translational Neurophysiology is hiring 1 post-doc on Brain- and Biosignal-based Automatic Speech Recognition.<br class="">
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<div style="margin: 0px; line-height: normal;" class=""><span style="-webkit-font-kerning: none;" class="">In the last few years, automatic speech recognition (ASR), where words are recognized from the audio signal, has achieved impressive results. A far more
challenging task is the recognition of speech from other (non-acoustic) kinds of signal (e.g., signal describing facial movements related to speech production). Such "biosignals" can be used when the audio is not available (e.g., brain signal from locked-in
patients) or can be combined with a weak acoustic signal (as, e.g., in audio-visual speech recognition where the signal-to-noise ratio is very low). Biosignal-based ASR needs to address many more problems than audio-based ASR, ranging from a noisier and less
discriminative phonetic content to an infinitely smaller amount of available training data.</span></div>
<div style="margin: 0px; line-height: normal;" class=""><span style="-webkit-font-kerning: none;" class="">The main goal of the proposed project is the automatic recognition of continuous speech from (i) ECoG data recorded recorded during awake brain surgery
from brain areas devoted to speech production.</span></div>
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<span style="text-decoration: underline; -webkit-font-kerning: none;" class=""><a href="https://www.iit.it/careers/openings/opening/333-postdoctoral-position-in-brain-and-biosignal-based-speech-recognition" class="">https://www.iit.it/careers/openings/opening/333-postdoctoral-position-in-brain-and-biosignal-based-speech-recognition</a></span></div>
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