Speech compression and encryption based on discrete wavelet transform and chaotic signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-10334-5.pdf
Reference31 articles.
1. Al-Azawi MKM, Gaze AM (2018) Combined speech compression and encryption using chaotic compressive sensing with large key size. IET Signal Processing 12:214–218. https://doi.org/10.1049/iet-spr.2016.0708
2. Cernak M, Asaei A, Hyafil A (2018) Cognitive speech coding. IEEE Signal Process Mag 35:97–109. https://doi.org/10.1109/MSP.2017.2761895
3. Chelali FZ, Cherabit N, Djeradi A, Falek L (2018) Wavelet transform for speech compression and denoising. International Conference on Multimedia Computing and Systems -Proceedings 2018-May:1–7. https://doi.org/10.1109/ICMCS.2018.8525996
4. Dusan S, Flanagan JL, Karve A, Balaraman M (2007) Speech compression by polynomial approximation. IEEE Trans Audio Speech Lang Process 15:387–395. https://doi.org/10.1109/TASL.2006.881705
5. Graps A (1995) An introduction to wavelets. IEEE Comput Sci Eng 2:50–61. https://doi.org/10.1109/99.388960
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