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Oral verbal communication represents the main communication channel among humans. In most communication contexts, speakers must speak clearly and accurately in ...

Idiap will develop a (Deep Neural Network based) Automatic Speech Recognition (ASR) engine to operate over a tower phraseology in air-traffic management ...

Idiap will develop a set of modules to automatically recognize (voice-to-text conversion) voice commands issued by air traffic controllers. The voice ...

Idiap investigate integrated fusion approaches to Deep Neural Network (DNN)-based whole-body biometrics combining gait and face recognition. We explore ...

In this BRIDGE project, we aim to develop and evaluate the feasibility of a new closed-loop Deep Brain Stimulation (DBS) control system that uses ...

Large aluminum custom extrusion profiles are widely used in construction, transportation and other industries. Using large amount of historical data and ...

In an ideal world, the physical and mental health and well-being of primary school-aged children are regularly monitored, health risks and problems are ...

Nowadays, 1 in 59 children is diagnosed with autism spectrum disorders (ASD), which makes this condition one of the most prevalent neurodevelopmental ...

Recent advances in NLP enabled by Deep Learning based architectures bring the opportunity to support the interpretation of textual content at scale. The ...

Amyotrophic lateral sclerosis (ALS) is a rapidly progressive and incurable neurodegenerative disease, characterized by the progressive death of motor neurons ...