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Cross Evaluation of Speech Enhancement Methods under Different Noise Conditions

In this paper, we present a cross evaluation of different a priori SNR estimation methods as well as different time-frequency analysis processing using a subjective listening test. The noisy signal is corrupted by different types of background noise i.e. babble and pink, and varying levels of input SNR (0 dB and 10 dB). The signals are processed using Short Time Fourier Transform (STFT) or Critical Band (CB) processing. After estimating the clean speech signal, it was presented to 10 participants for evaluation using a subjective listening test according to (ITU-TP.835) methodology. The results demonstrate that the participants preferred the speech signal processed using CB for low SNR levels and non-stationary background noise, which means that critical band based frequency scale is more useful in adverse noisy conditions.