 Hello, my name is Lana Bior, and I'm a new PhD student since this academic year at the University of Antwerp. I'm very happy to give you a short presentation about my field of study, the ACC prediction model, which I will use to predict speech perception. Hearing impairment is a major disability affecting communication and quality of life, and currently no treatment is available to prevent or halt the progression of sensory neural hearing loss. Management mainly consists of hearing rehabilitation with hearing aids and cochlear implants. Speech perception tests are essential to measure the functional use of hearing to determine the effectiveness of hearing aid fittings and to evaluate cochlear implant candidacy. However, these language-based tests are subjective and influenced by linguistic and neurocognitive skills, so they require the patient's full attention. So far, there are no objective tests to accurately predict hearing abilities and not require active participation. This is especially troublesome for patients with insufficient language proficiency, cognitive impairments, but also for children. But our group has developed a non-attentive end-objective prediction model which correlates very well with speech perception in noise scores. This model, the ACC prediction model, uses electroencephalography to measure alterations in cortical auditory processing caused by 12% frequency changes starting from different base frequencies. Continuing with this model, we will start a new project called the Acoustic Change Complex Predictive Validation Study, or accept in short. And this is for the upcoming four years of my PhD. We aim to validate the ACC prediction model in a large-scale validation study with a population of 80 adult participants with foreign degrees of sensory neural hearing loss. Definitely stay tuned for more detailed information and thank you very much for watching and listening.