Lightweight AAC Audio Steganalysis Model Based on ResNeXt

Traditional AAC (Advanced Audio Coding) audio steganalysis methods rely on manual feature extraction, which results in low detection accuracy and low efficiency. Nowadays, the new steganalysis model based on neural network is very attractive, but its scale is large and its detection accuracy needs f...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Wireless communications and mobile computing 2022-05, Vol.2022, p.1-11
Hauptverfasser:	Wei, Zhongyuan, Wang, Kaixi
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Classification Coding standards Coefficients Digital music Discrete cosine transform Embedding Feature extraction High pass filters Huffman codes Lightweight Mathematical models Methods Model accuracy Modules Neural networks Sound filters Steganography
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!