Speech Signal Enhancement Using Firefly Optimization Algorithm
نویسنده
چکیده
The speech signal enhancement is essential to obtain clean speech signal from noisy signal. For multimodal optimization, the natural-inspired algorithms such as Firefly Algorithm (FA) are better. The proposed algorithm contains preprocessing module, optimization module and spectral filtering module. Here, Loizou’s and Aurora databases are considered for signals. In this paper the Perceptional Evolution of Speech Quality (PESQ) and Signal-to-Noise ratio (SNR) of the enhanced signal are calculated to evaluate the performance of Firefly Algorithm.
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