Abstract
This research studies the perceptual evaluation of speech signals using an inexpensive recording device. Different types of noise-reduction and electronic enhancement filters viz. Hamming window, high-pass filter (HPF), Wiener-filter and no-speech activity-cancelling were applied in compliance with the testing conditions such as P.835. In total, 41 volunteers participated in the study for identifying the effects of those filters following a repeatable approach. Performance was assessed in terms of advanced perceptual audio features. This study is believed to be beneficial for both users and device manufacturers as the suggested technique is relatively simple to embed in operational device algorithms or in the master GPU.