The Lineal Prediction Applied to Distributed Speech Recognition in IP Nets

Elieser Ernesto Gallego Martínez, Angel Correa, Alexei Blanco, Jessica Cuador, Raúl Álvarez


This work presents results in the application of speech compression to speech recognition technics in IP nets. That’s why the three fundamental areas of the knowledge that are involved are: the voice compression, the transmission channels simulation and the speech recognition. This areas are integrated to achieve an application developed in MATLAB, able to carry out a remote speech recognition by means of the transmission of compressed voice, with the peculiarity that it is considered the probability of occurrence of losses of information in the transmission channels, in such way that the robustness of the proposed system is demonstrated.


Speech recognition, voice compression.

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