Some measures of similarity of speech signals fragments, which are used for their recognition are considered. The algorithm and program complex for signal processing are developed.
Analytical and experimental investigations of influence of reverberation disturbances on measuring exactness of speech signal levels distributing function has been made.
The paper suggests a new watermarking scheme based on invariant method of segmentation and the use of local magnitude for marking speech signals. The watermark is embedded in the chosen form at peaks with the spectrum magnitude of each nonoverlapping frame of audio signal.
A new improved method of speech signals marking is presented. The method is based on employing of Hölder condition to speech signal spectrum. The key features of this method are its high accuracy during watermark decoding and independence from original data like speech signal and watermark