Title :
Magnitude Spectrum Speech Hiding
Author :
Rabie, Tamer ; Guerchi, Driss
Author_Institution :
Coll. of Inf. Technol., UAE Univ., Al Ain
Abstract :
This paper presents a speech-in-speech hiding framework for the purpose of reducing the storage and transmission overhead in electronic voice mail applications, as well as for steganography applications of hiding secret speech messages for voice mail security. The technique used exploits the low-pass spectral properties of the Fourier magnitude of a host speech signal to embed another speech signal in the low-amplitude-high-frequency region of the host speech signal´s spectral magnitude. Experimental evaluations on real male and female voice segments show that our technique is capable of hiding one speech message inside another host speech segment to produce a stego speech segment that is indistinguishable from the original host speech, while being able to extract the hidden speech message without any degradations in quality.
Keywords :
speech coding; steganography; voice mail; electronic voice mail applications; magnitude spectrum speech hiding; secret speech messages; steganography applications; voice mail security; Frequency; Image storage; Linear predictive coding; Narrowband; Signal processing; Speech analysis; Speech coding; Speech processing; Steganography; Voice mail; CELP; LPC; Magnitude Spectrum; Steganography; Voiced Speech Hiding;
Conference_Titel :
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-1235-8
Electronic_ISBN :
978-1-4244-1236-5
DOI :
10.1109/ICSPC.2007.4728527