An incident response team obtains a set of audio clips from a source that appears suspicious. The team suspects there are hidden instructions that do not show up in standard playback. Which approach helps reveal abnormal frequency variations that point to concealed data within the clips?
Performing a frequency-focused review of the recorded content
Extracting camera-specific information from the audio file’s properties
Converting the audio clips to a lower bitrate format
Performing a detailed frequency breakdown (spectral evaluation) can detect anomalies or patterns that are not heard in normal playback, revealing content that may be deliberately hidden. Simply reformatting files or changing codecs could obscure artifacts rather than illuminate them, while checking camera metadata would not uncover unusual audio elements. Converting to a low-bitrate format may degrade the audio, masking important clues.
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What is a frequency-focused review in audio analysis?
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What tools are commonly used for spectral evaluation?
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Why is changing the codec or bitrate not effective for uncovering hidden audio data?