MODELING OF A SUBSCRIBER'S AUDIO SIGNAL FOR SPEECH RECOGNITION SYSTEMS AND EVALUATION OF ITS NOISE IMMUNITY
The physiological process of speech signal formation is considered, the speech signal vocalized and non-vocalized sections formation process analysis is carried out. A model of speech signal formation has been developed for its further use in speech signal recognition systems. The necessity to take into account the «spectrum leakage» of the speech signal is considered. The analysis of the possibility of improving the quality of speech signal recognition using existing speech/pause segmentation algorithms is carried out. Based on the results obtained, it can be concluded that the proposed model adequately describes the subscriber's voice signal for identification systems, and with its use it is possible to analyze the operation of noise suppression algorithms and the allocation of pauses, which, in turn, has a significant impact on the quality of identification systems. Also, it should be noted that despite the fact that the speech/pause segmentation algorithms have been developed quite widely, the results of these algorithms are far from optimal.