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  4. Speech signal marking on the base of local magnitude and invariant segmentation

Speech signal marking on the base of local magnitude and invariant segmentation

MMC.
2014;
Volume 1, Number 2
: pp. 234-244
https://doi.org/10.23939/mmc2014.02.234
Received: December 23, 2014

Math. Model. Comput. Vol. 1, No. 2, pp. 234-244 (2014)

Authors:
  1. Yu. Rashkevych
  2. D. Peleshko
  3. I. Pelekh
  4. I. V. Izonіn
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University, Department of Publishing Information Technologies
3
Lviv Polytechnic National University
4
Lviv Polytechnic National University, Lviv, Ukraine

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.

speech signal
marking
watermark
primary segmentation
symmetric matrix of distances
pseudoinverse matrix
Moore-Penrose algorithm
singular decomposition
Euclidean
Chebyshev and cosine metrics
similarity measure
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