Cracking the speech code: A cross-linguistic neurobehavioral approach to language learning in typical and atypical populations

The project builds on international collaboration with matched funds to addresses language learning in typical and atypical populations (children with autism, dyslexia, and cochlear implants, who all have problems with speech perception). Three typologically representative languages, English (non-tonal language), Mandarin Chinese (tonal language), and Japanese (pitch accent language) are covered. Aim #1 is to apply sophisticated signal processing and statistical modelling in identifying biomarkers of speech and voice recognition deficits. Aim #2 is to investigate speech and voice processing in realistic and complex environments and how the brain mechanisms are shaped by learning experience and pathological conditions. Aim #3 is to develop tools that can deliver adaptive and customizable training methods that can optimize speech learning and social communication across ages and disorders. Our strategic plan will involve multi-year efforts in fundamental research and training, including the establishment of a scholarly exchange program and joint graduate program in speech-language-hearing sciences.