Authors:Junaid Masood,Sheeraz Ahmed,Asim Ali,Ubaid Ullah,Said-ul-Abrar,Muhammad Tayyab,Samhita Priyadarsini Gundala,
Keywords:Filters,Speech Signal,Signal to Noise Ratio,Mean Square Error,Scaling Factor,
AbstractSpeech signal segmental framing and the scaling factor is basis for the speech recognition process as first step. The next followed step is existing noise reduction in the recognized speech signal for quality improvement. In this work, the noise reduction is done using newly proposed adaptive median based filtering. Comparison of the observations based on adaptive median filtering with Minimum Mean-Square Error Short-time Spectral Amplitude (MMSE-STSA) and Minimum Mean-Square Error (MMSE) based noise reduction reveal a list of worthy to mention relevant observations. The drawn conclusion also accumulates possible contributions by the proposed adaptive median based filtering technique. Lastly is mentioning of Signal-to-noise ratio (SNR) as the primary metric for observations collection for the newly proposed adaptive median based filtering technique analysis.
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