Abstract
This paper presents a noise reduction method based on binary mask thresholding function for enhancement in single channel speech patterns of mixed highly non-stationary noises with low (negative) input SNR. For this purpose, a mixed highly non-stationary noisy speech database is generated by using noise and clean speech database of AURORA and INDIC speech, respectively. Results are compared with widely used methods such as Daubechies13, Daubechies40, Symlet13, Coiflet5, Wiener, Spectral Subtraction, and log-MMSE for performance evaluation in terms of SNR, PESQ, and Cepstrum distance parameters. In comparison to other methods the proposed single-channel speech enhancement method shows satisfactory results and obtained significant improvement in speech quality and intelligibility.
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