Towards Modeling Human Speech Confusions in Noise

Principal Investigator(s): 
Nelson Morgan

Researchers are studying how background noise and speaking rate affect the ability of humans to recognize speech. In this project, they evaluate components of a model of human speech perception. Researchers look at the effect of incorporating spectro-temporal filters, which operate in the human auditory cortex and are sensitive to particular modulations in auditory frequency. The results from this project will improve our understanding of how humans perceive sound, and they could be used to improve artificial systems for speech processing, such as hearing aids.

Funding provided by NSF grant 1248047, EAGER: Collaborative Research: Towards Modeling Human Speech Confusions in Noise.