Speech Coder Identification Using Chaotic Features Based on Steganalyzer Models
In this study a steganalyzer model based on chaotic features is adapted to codec identification problem. As conventional steganalyzers detect suspected packages buried in bitstreams using statistical analysis, the proposed "speech coder identification" model also reveals the statistical di...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Žilina
2012-06-01
|
| Series: | Communications |
| Subjects: | |
| Online Access: | https://komunikacie.uniza.sk/artkey/csl-201202-0010_speech-coder-identification-using-chaotic-features-based-on-steganalyzer-models.php |