Résultats de recherche

There are an increasing number of people across Europe with debilitating speech pathologies (e.g., due to stroke, Alzeheimer's, Parkinson's, etc). These groups ...

Standard machine learning systems require massive data and huge processing infrastructures, but the main limitation to their spreading comes from the need of ...

Our ASR approaches have always used neural networks, Idiap researchers having pioneered the hybrid approach to ASR based on posterior probabilities. The work ...

The work of John Antonakis and colleagues at UNIL has identified markers in the transcripts of speeches that are indicative of charisma. Charisma in turn has ...

Building, testing and adapting bespoke speaker identification models to be used in IDIAP's 'Bob.Spear' speaker recognition software

Eyeware creates natural and intuitive human-machine interaction experiences using eye-gaze tracking. We propose to design a novel, robust gaze estimation ...

Statistical and neural machine translation systems (in short, SMT and NMT) have reached significant quality and speed levels. Such systems use large amounts of ...

What if we could generate complex movements for a robot with any combination of arms and legs interacting with a dynamic environment in real-time? MEMMO has ...

L’objectif de ce projet serait de pouvoir, à court terme, fournir une unité GPU pour chaque chercheur de l’Institut. Le mode partagé de l’infrastructure de ...