PROBABILITY DENSITY FUNCTION OF AVERAGE POWER OF REAL SPEECH SIGNALS

It is known that many real signals, such as speech are non-stationary processes express theirfeature through changes in parameters over time. By observing shorter time intervals, the property ofstationarity can be notice. This characteristic enables application of techniques for adaptation to local signalcharacteristics signal processing algorithms. Many these algorithms described by standards, and additionto intensive development this area last decades, there a constant need new solutionsand standards. One most used mean (average) signalpower. The change results wide dynamic range average power. In addition predicteddynamics power, design systems with adaptive it important include otherparameters, among which Probability Density Function (PDF) goal researchpresented paper analysis probability distribution power based onwhich adaptability digital would improved, wouldensure higher quality less requirements data transmission storage. theoreticalconsideration, research was conducted on signals different speakers. modern technical systems,where Internet technologies prominent, processing, memorization executed frameby frame. Therefore, an density frame lengths wascarried out experiment. experimental part, each corpus, theProbability best describes values per determined. Experimentalresearch indicate function Inaddition, when one speaker, lengths. Itcan concluded comes signal, isimportant consider characteristics ofthe