Computational Modeling of Sensorineural Hearing Loss

摘要: Models of auditory signal processing have been used for many years to provide parsimonious explanations how the normal system functions at physiological and perceptual levels, as well useful insight into bases perception. Such models also in applications, such automatic speech recognition, audio coding, signal-processing strategies hearing aids cochlear implants. Here, an application framework is considered that motivated by long-term goal using computational maximize ability apply knowledge overcome dysfunction individual patients. This motivates present ­chapter’s focus, which on physiologically based explore issues related sensorineural loss (SNHL). Specifically, this chapter considers phenomenological (rather than biophysical models) predict impaired peripheral responses complex stimuli. These types are likely be most specific applications needed achieve stated goal, explaining effects SNHL, diagnosing underlying status patients, fitting designing hearing-aid algorithms a quantitative framework.