Title :
Audio codec identification through payload sampling
Author :
Hicsonmez, S. ; Sencar, Husrev T. ; Vcibas, Ismail A.
Author_Institution :
Comput. Eng. Dept., TOBB Univ. of Econ. & Technol., Ankara, Turkey
fDate :
Nov. 29 2011-Dec. 2 2011
Abstract :
W0065 present a new method for audio codec identification that does not require decoding of coded audio data. The method utilizes randomness and chaotic characteristics of coded audio to build statistical models that represent encoding process associated with different codecs. The method is simple, as it does not assume knowledge on encoding structure of a codec. It is also fast, since it operates on a block of data, which is as small as a few kilobytes, selected randomly from the coded audio. Tests are performed to evaluate the effectiveness of the technique in identification of the codec used in encoding on both singly coded and transcoded audio samples.
Keywords :
audio coding; chaos; identification; signal sampling; statistical analysis; W0065; audio codec identification; audio data decoding; chaotic characteristics; encoding process; payload sampling; statistical model; transcoded audio sample; Bit rate; Digital audio players; GSM; Phase change materials; Robustness; Streaming media; Telephony;
Conference_Titel :
Information Forensics and Security (WIFS), 2011 IEEE International Workshop on
Conference_Location :
Iguacu Falls
Print_ISBN :
978-1-4577-1017-9
Electronic_ISBN :
978-1-4577-1018-6
DOI :
10.1109/WIFS.2011.6123128
