Speech signal authentication and self-recovery based on DTWT and ADPCM
Guardado en:
| Publicado en: | Multimedia Tools and Applications vol. 83, no. 31 (Sep 2024), p. 76341 |
|---|---|
| Autor principal: | |
| Otros Autores: | , , , |
| Publicado: |
Springer Nature B.V.
|
| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text - PDF |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3100356690 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1380-7501 | ||
| 022 | |a 1573-7721 | ||
| 024 | 7 | |a 10.1007/s11042-024-18614-0 |2 doi | |
| 035 | |a 3100356690 | ||
| 045 | 2 | |b d20240901 |b d20240930 | |
| 084 | |a 108528 |2 nlm | ||
| 100 | 1 | |a Quiñonez-Carbajal, Maria T. |u Instituto Politécnico Nacional, ESIME Unidad Culhuacan, México City, México (GRID:grid.418275.d) (ISNI:0000 0001 2165 8782) | |
| 245 | 1 | |a Speech signal authentication and self-recovery based on DTWT and ADPCM | |
| 260 | |b Springer Nature B.V. |c Sep 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The digital voice is multimedia content of great importance, given the range of applications where it can be found. This paper addresses the shortcomings of existing voice authentication algorithms, presenting a completely blind speech authentication and recovery method based on fragile watermarking using the Least Significant Bit (LSB) method. This scheme obtains a compressed version of the original speech signal by Adaptive Differential Pulse Code Modulation (ADPCM) coding and the Discrete-Time Wavelet Transform (DTWT). Authentication bits are then generated by the SHA256 hash function, and the watermark is afterward embedded in the last three LSBs of the original audio samples. Experimental results evaluated on five different audio databases, each comprising speech signals recorded in different situations, contexts, and languages, have demonstrated a high embedding payload and imperceptibility of the watermark, obtaining an average Signal-to-Noise Ratio (SNR) value above 40dB<inline-graphic xlink:href="11042_2024_18614_Article_IEq1.gif" />. Furthermore, the proposed method demonstrates a strong ability to accurately locate and restore up to 50% of a speech signal that has been tampered with, using no additional information. Moreover, the recovered speech signal is intelligible and has an SNR value higher than other recovery schemes, justifying the efficiency of the proposed method. | |
| 653 | |a Recovery | ||
| 653 | |a Speech | ||
| 653 | |a Watermarking | ||
| 653 | |a Wavelet transforms | ||
| 653 | |a Hash based algorithms | ||
| 653 | |a Differential pulse code modulation | ||
| 653 | |a Embedding | ||
| 653 | |a Pulse code modulation | ||
| 653 | |a Multimedia | ||
| 653 | |a Signal to noise ratio | ||
| 700 | 1 | |a Reyes-Reyes, Rogelio |u Instituto Politécnico Nacional, ESIME Unidad Culhuacan, México City, México (GRID:grid.418275.d) (ISNI:0000 0001 2165 8782) | |
| 700 | 1 | |a Ponomaryov, Volodymyr |u Instituto Politécnico Nacional, ESIME Unidad Culhuacan, México City, México (GRID:grid.418275.d) (ISNI:0000 0001 2165 8782) | |
| 700 | 1 | |a Cruz-Ramos, Clara |u Instituto Politécnico Nacional, ESIME Unidad Culhuacan, México City, México (GRID:grid.418275.d) (ISNI:0000 0001 2165 8782) | |
| 700 | 1 | |a Garcia-Salgado, Beatriz P. |u Instituto Politécnico Nacional, ESIME Unidad Culhuacan, México City, México (GRID:grid.418275.d) (ISNI:0000 0001 2165 8782) | |
| 773 | 0 | |t Multimedia Tools and Applications |g vol. 83, no. 31 (Sep 2024), p. 76341 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3100356690/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3100356690/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |