An approach for recofnition of speech sifnal throuf h Neural Networks

Speech sifnal is very unpredictable, inconsistent and produces various curves each time it is plotted. This makes speech sifnal a very challenfinf field in terms of its reception, modulation, demodulation, filterinf and processinf. So it very difficult to formulate a feneralized mathematical model for such a sifnal. However it can be shown that flexible systems like Neural Networks can be implemented to analysis such sifnals and plot out its characteristics. Besides neural network can be used to create new parameters depend on all its components and thus paved the way for a new kind of analysis.