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Jeff Bondy, Ian C Bruce, Sue Becker, and Simon Haykin (2004)

Machine learning and the auditory nerve

Canadian Acoustics, 32(3):64-65.

The application of machine learning to the auditory system is studied. The application consists of four models such as model of the normal auditory system, impaired auditory system, processing block to train, and an error metric. The statistical differences between the normal and impaired auditory nerve responses shows a loss of contrast between different auditory landmarks. It is expected that better segmentation will lead to more normal streaming, allowing the hearing-aid user the ability to unmask spectrally and temporally between the normal and impaired auditory system.

hearing-aids, auditory nerve, compensation, computational modelling