SYSTEM OF RECOGNITION THE STEGANOGRAPHIC-TRANSFORMED VOICE COMMANDS OF THE UAV CONTROL
Abstract
Keywords
Full Text:
PDF (Русский)References
Cuiling, L. English Speech Recognition Method Based on Hidden Markov Model. Smart Grid and Electrical Automation (ICSGEA), IEEE International Conference, 2016, pp. 94-97.
Lu, L., Renals, S. Small-Footprint Highway Deep Neural Networks for Speech Recognition. Transactions on Audio, Speech, and Language Pro-cessing, 2017, vol. 25, no. 7, pp. 1502-1511.
Hazem, Z. A study of speech recognition system based on the Hidden Markov Model with Gaussian-Mixture. Electrical Sciences and Technologies in Maghreb, IEEE International Conference, 2014, pp. 1-5.
Zhao, Y., Zhu, L. Speaker-Dependent Isolated-Word Speech Recognition System Based on Vector Quantization. Computer Network, Electronic and Automation (ICCNEA), IEEE International Conference, 2017, pp. 133-137.
Rashmi, N., Jyothi, K. An improved method for reversible data hiding steganography combined with cryptography. Inventive Systems and Control, IEEE 2nd International Conference, 2018, pp. 81-84.
Sharma, D., Sharma, De. Steganography of the keys into an encrypted speech signal using Matlab. Computing for Sustainable Global Development, IEEE 3rd International Conference, 2016, pp. 721-724.
Liu, J., Zhou, K., Tian, H. Least-significant-digit steganography in low bitrate speech. Communications, IEEE International Conference, 2012, pp. 1133-1137.
Lavrynenko, O., Konakhovych, G., Bakhtiiarov, D. Method of Voice Control Functions of the UAV. Methods and Systems of Navigation and Motion Control (MSNMC), IEEE 4th International Conference, 2016, pp. 47-50.
Lavrynenko, O.Yu., Konakhovych, G.F., Bakhtiiarov, D.I. Compression algorithm of voice control commands of UAV based on wavelet transform. Electronics and control systems, 2018, vol. 55, no. 1, pp. 17-22.
DOI: https://doi.org/10.32620/reks.2018.3.03
Refbacks
- There are currently no refbacks.