Parallel algorithms for acoustic processing of speech signals

In such computerized systems, such as voice control units, personal identification, IP-telephony, weapon control commands, accepting applications for reference services, automated stenography, recognition of individual words and phrases plays a major role in enhancing the effectiveness of technical systems. In the preliminary stages of speech processing algorithms for the allocation of phonetic characteristics is implemented, which are subjected to syntactic and semantic analysis in subsequent stages. To isolate the phonetic characteristics acoustic treatment is performed, which includes algorithms of pre-filtering, spectral analysis, segmentation, and a calculation of cepstral features. In this paper solves the problems of accelerated implementation of the acoustic processing algorithms in real-time systems, in which there is recognition of the individual teams. To implement the stream computing is used opportunities of C++ programming language and OpenMP technologies. To perform stream computing algorithms are used dual-core and multi-core processors. Obtained results of acceleration calculations correspond to the number of processor cores.