Performance measurement of a hybrid speech enhancement technique

Abstract

For enhancing the performance of the quality of speech, this paper presents a novel, hybrid speech enhancement technique based on the combination of two-step noise reduction (TSNR), harmonic regeneration noise reduction (HRNR), and a comb filter. This technique outperforms existing methods that are based on TSNR, HRNR, Wavelet, and hybrid TSNR-HRNR. The parameters such as spectrogram, average segmental SNR (ASSNR), mean square error (MSE), mean opinion score (MOS), perceptual evaluation of speech quality (PESQ), and diagnostic rhyme test (DRT) were obtained for the performance comparison. Results revealed that the proposed method outperforms in terms of ASSNR, MSE, speech quality, and intelligibility when compared to the TSNR, HRNR, wavelet, and TSNR-HRNR based speech enhancement methods.