Fuzzy ARTMAP Technique for Speech Noise Reduction
نویسنده
چکیده
This paper presents an approach to reduction noise of speech voice commanded automatic wheel chair using a technique based on the fuzzy ARTMAP neural network (FAMNN). The measurable output noisy speech with 5dB, 1dB, -1dB, -5dB and -10dB SNR level is obtained as the contaminated signal of the interference to compare with the output data of the filter. The white noise source is acquired as the input. Finally, after training, the fuzzy ARTMAP output (i.e. estimated interference) was demonstrated. Then the estimated information signal is calculated as the difference between the measured signal and the estimated interference. The fuzzy ARTMAP could do a practically superior situation in adaptive de-noising of a speech voice commanded automatic wheel chair system with nonlinear characteristics. Key-Words: speech, noise, noise reduction, fuzzy ARTMAP neural network, FAMNN
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