Speech information hiding method based on Itakura-Saito measure and psychoacoustic model

Traditional speech information hiding methods have several disadvantages, for example, constant embedding amplitude, lower speech quality, higher bit error rate. A novel speech information hiding method based on Itakura-Saito measure and psychoacoustic model is proposed. The embedding amplitude can be controlled by Itakura-Saito measure and psychoacoustic model together. The host speech is decomposed by wavelet packet transformation and then mapped into the critical bands. According to the audio masking threshold, the embedding amplitude in each subband can be determined. And then, the adjustment factors can be calculated by Itakura-Saito measure to control the embedding amplitude in each frame so that the speech quality is good. The embedding amplitude can be determined automatically. Experimental results show that the performance of this method is better than that of the traditional methods.