Designing an intelligent translation software by audio processing techniques

a lot of researches in the fields of image processing and sound processing are being done nowadays in the world. Usually, they use artificial Intelligence techniques, and different processing algorithms such as DSP, Genetic algorithms, neural networks, etc. creating an intelligent method to add ability to recognize words is objective of this research. This methodology by proper network training is able to separate and classify different audio signals. Finally, it determines some concepts for each group of sounds to learn by user. In this research, network with audio signals of numbers from zero to nine were taught in Persian language. Aim of network after training is separating input signals and finding the number corresponding to the input signal

کلیدواژه ها:

Speech recognition Technology ، language processing ، data to speech conversion