Research on Speech Coding Technology Based on Nonlinear System Theory in in AI-Based Disease Detection

In order to minimize the redundancy of speech decoding and realize the reliable transmission of speech data files, a speech coding method based on nonlinear system theory is proposed. Through pitch extraction, the residual harmonic spectrum condition of speech data information is calculated, and then combined with error correction coding technology, the speech feature analysis based on nonlinear system theory is realized. On this basis, the full search vector quantizer is set to suppress the noise parameters. According to the synthesis standard of speech coding information, the smooth application of speech coding technology based on nonlinear system theory is realized. The experimental results shows that, compared with MELP coding principle, the above coding technology can fully reduce the decoding redundancy level of voice information, realize the synchronous transmission of serial and parallel voice information, and better guarantee the reliable transmission environment of voice data files.