Pre-processing voice signals for voice recognition systems

The article considers the pre-processing voice signals for voice recognition systems based on the use of artificial neural networks. Based segmentation preprocessing is put in the speech signal according to a phonetic transcription of language, in order to reduce the amount of data supplied to the input of the neural network, which considerably improves its input data sensitivity. Application of numerical methods in processing will reduce acoustic noise impact on the speech signal segmentation, which will more accurately identify the areas of classification. Simulation results of the speech signal partition into components are shown, i.e. the selection of phonemes which will be the voice message classification.