Speech Signal Framing and Windowing
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Resource Overview
Implementation of speech signal framing and windowing procedure - a critical component often missing from standard audio processing packages!
Detailed Documentation
The speech signal framing and windowing procedure is a fundamental processing technique that segments continuous speech signals into sequential short frames and applies window functions to each frame. This implementation typically involves calculating frame size based on sample rate, determining overlap percentage between consecutive frames, and applying window functions (such as Hamming or Hanning windows) to reduce spectral leakage. While many standard audio processing libraries may not include this specific functionality, it remains essential for various speech processing applications including feature extraction, speech recognition, and spectral analysis. The core algorithm involves slicing the input signal into fixed-length segments with configurable overlap, then multiplying each frame by the selected window function to minimize discontinuities at frame boundaries.
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