  Steganography is a method that can improve network security and make
communications safer. In this method, a secret message is hidden in content
like audio signals that should not be perceptible by listening to the audio or
seeing the signal waves. Also, it should be robust against different common
attacks such as noise and compression. In this paper, we propose a new speech
steganography method based on a combination of Discrete Wavelet Transform,
Graph-based Transform, and Singular Value Decomposition (SVD). In this method,
we first find voiced frames based on energy and zero-crossing counts of the
frames and then embed a binary message into voiced frames. Experimental results
on the NOIZEUS database show that the proposed method is imperceptible and also
robust against Gaussian noise, re-sampling, re-quantization, high pass filter,
and low pass filter. Also, it is robust against MP3 compression and scaling for
watermarking applications.

Multimedia;Sound;Audio and Speech Processing