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Technical GlossarySpeech, Voice and Audio AI

Windowing in Audio

A fundamental processing step that enables local frequency analysis by splitting the signal into small time segments.

Windowing makes it possible to analyze the non-stationary nature of audio by splitting the signal into manageable local regions. Windows such as Hamming or Hann reduce edge effects and yield more reliable spectral representations. This choice directly affects the quality of low-level audio features. It is a small-looking but critical signal-processing decision underlying many models.