Speech Analysis and Cognition Using Category-Dependent Features in a Model of the Central Auditory System
It is well known that machines perform far worse than humans in recognizing speech and audio, especially in noisy environments. One method of addressing this issue of robustness is to study physiological models of the human auditory system and to adopt some of its characteristics in computers. As a...
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| Format: | Others |
| Language: | en_US |
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Georgia Institute of Technology
2007
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| Online Access: | http://hdl.handle.net/1853/14061 |