DocumentCode :
1867164
Title :
A Method of Continuous Data Flow Embedded within Speech Signals
Author :
Wan, Shibiao ; Yao, Chong ; Hu, Yuxi ; Zhang, Guangmin
Author_Institution :
Sch. of Electron. Inf., Wuhan Univ., Wuhan, China
fYear :
2010
fDate :
9-10 Feb. 2010
Firstpage :
362
Lastpage :
365
Abstract :
In this paper, we propose one method to transmit any kind of possible information in an acceptable rate through speech channels while people are talking on the mobile or fixed phones. The paper gives detail description of data embedding and decoding, the information to be transmitted is embedded into the echo of the original speech at the transmitting end, and is decoded through cepstrum analysis at the receiving end. Compared to echo watermarking technologies, the method would have more advantages:(1) By segments division, the transmitting capacity can be improved;(2) The original speech signal will not be corrupted by the echoes;(3)The method do not need complex Error Control strategy. Further, the paper gives the properties analysis: Correct Decoding Probability (CDP), Data Rate, and the effect of front and rear noises. The simulation results show the methods can embed data with any length into speech signal. Finally, parameters selection and applications are also discussed in this paper.
Keywords :
audio coding; cepstral analysis; decoding; speech processing; watermarking; cepstrum analysis; continuous data flow; correct decoding probability; data embedding; echo watermarking; fixed phones; mobile phones; speech channels; speech signals; transmitting capacity; Cepstral analysis; Cepstrum; Data communication; Decoding; Delay effects; Sampling methods; Signal processing; Speech analysis; Speech processing; Watermarking; Audio Watermarking; Cepstrum Analysis; Data Flow; Hiding Data Transmission;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Acquisition and Processing, 2010. ICSAP '10. International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4244-5724-3
Electronic_ISBN :
978-1-4244-5725-0
Type :
conf
DOI :
10.1109/ICSAP.2010.26
Filename :
5432775
Link To Document :
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