pith. sign in

arxiv: 1704.02755 · v1 · pith:HJR5FKHNnew · submitted 2017-04-10 · 💻 cs.MM

Robust Audio Watermarking Algorithm Based on Moving Average and DCT

classification 💻 cs.MM
keywords audiosignalaveragemovingwatermarkalgorithmcoefficientcommon
0
0 comments X
read the original abstract

Noise is often brought to host audio by common signal processing operation, and it usually changes the high-frequency component of an audio signal. So embedding watermark by adjusting low-frequency coefficient can improve the robustness of a watermark scheme. Moving Average sequence is a low-frequency feature of an audio signal. This work proposed a method which embedding watermark into the maximal coefficient in discrete cosine transform domain of a moving average sequence. Subjective and objective tests reveal that the proposed watermarking scheme maintains highly audio quality, and simultaneously, the algorithm is highly robust to common digital signal processing operations, including additive noise, sampling rate change, bit resolution transformation, MP3 compression, and random cropping, especially low-pass filtering.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. XAttnMark: Learning Robust Audio Watermarking with Cross-Attention

    cs.SD 2025-02 unverdicted novelty 5.0

    XAttnMark is a new neural audio watermarking method using partial parameter sharing, cross-attention for message retrieval, temporal conditioning, and a psychoacoustic TF masking loss that reports state-of-the-art det...