| Summary: | 碩士 === 朝陽科技大學 === 資訊工程系碩士班 === 98 === In this paper an adaptive filter, based on microphone array technology, is proposed for speech signal enhancement. In the past decade, microphone array technology has been shown to provide effective performance on speech enhancement. In this paper a hybrid filter based on microphone array was proposed to improve the performance on speech enhancement. In the proposed hybrid filter, wavelet filter and spectrum subtraction method were adopted to serve as former processing, then the signals are filtering by microphone array. After that, a Feed-forward Fuzzy Neural Network was employed to obtain the optimal signal mixed ratio between filters. Besides, an analysis compensation system (ACS) was proposed to eliminate the unwanted spur and compensate the filtering signals. Experimental results reveal that our proposed filter outperforms other methods on speech signal enhancement.
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