Abstract
We have developed a real-time system to transform an audio signal into several specialized representations of sound. The system uses analog circuit models of biological audition to compute these representations. We report on a speech recognizer that uses this system for feature extraction, and we evaluate the performance of this speech recognition system on a speaker-independent 13-word recognition task.
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