Quantifying Uncertainty: Statistical Speech Signal Processing

One of the most important aspects of any conversation is to maintain the intelligibility and integrity of the message. Assume that the data being transferred is accompanied by an undesired disturbance. In that instance, the intended message tends to be warped and the information to be delivered needs to be clarified. A variety of electrical devices and free space channels are frequently used to transfer different kinds of data, including text, music, and image files. In communication systems, noise frequently taints the data; therefore, eliminating noise is crucial in guaranteeing message clarity. Numerous methods of signal processing guarantee the same thing. This specific work, however, focuses on the statistical aspect of the transmitting signal and attempts to investigate how noisy segments in a signal might be identified and how their presence is reduced by using kurtosis in conjunction with power spectral density.