[Feature] Some interesting issues in audio forensics arise from the widespread use of smartphones for recording chunks of audio, and how one can detect edits and copying or moving of the resulting files. The idea that microphones leave unique signatures on the signal is an intriguing one for further investigation, and identification based on frequency-response features seems a promising avenue. In the area of forgery detection there are big challenges for the development of new technology as systems get more and more clever at faking human characteristics or hiding the results of artificial processing. Papers from the 2019 Audio Forensics Conference are summarized.
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