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

fYear

2011

fDate

Nov. 29 2011-Dec. 2 2011

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WIFS.2011.6123128

Filename

6123128