Combined Speaker Recognition and Compression for Secured Speech Transmission
| dc.category | Journal Article | |
| dc.contributor.author | Radha, V | |
| dc.date.accessioned | 2017-03-29T18:12:32Z | |
| dc.date.available | 2017-03-29T18:12:32Z | |
| dc.date.issued | 2014 | |
| dc.department | Computer Science | en_US |
| dc.description.abstract | The continued advancement and growth in the network processing ability have improved the competence and scope of speech communication in the network. Therefore the secure speech communication and security of communication information are required now a days. To provide more security for the speech signal, the Multiple Huffman Table (MHT) is enhanced in this paper, by incorporating an optimization procedure as a preprocessing step before compression. So before performing compression the MHT splits the speech signal into Most Significant Signal (MSS) and Least Significant Signal (LSS). MSS is considered to be the significant signal, so the MHT considers only the MSS for compression. From the compressed output, the coefficients are selected and protected using cryptographic cipher Advanced Encryption Standard (AES), because it will be difficult for attackers to recover any information from these coefficients. Finally the results were evaluated using Compression ratio (CR), Peak Signal-to-Noise Ratio (PSNR) and Normalized Root-Mean Square Error (NRMSE). From the results it can be seen that the Enhanced MHT with Encryption method provides better result. | en_US |
| dc.identifier.uri | https://ir.avinuty.ac.in/handle/avu/2285 | |
| dc.lang | English | en_US |
| dc.publisher.name | International Journal of Applied Engineering Research | en_US |
| dc.publisher.type | International | en_US |
| dc.title | Combined Speaker Recognition and Compression for Secured Speech Transmission | en_US |
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