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Windowing Techniques in Speech Processing by Jitendra Dhiman is a document available to read on EtoBox.
Windowing is used in speech processing to divide non-stationary speech signals into short frames where traditional signal processing can be applied. Overlapping analysis windows are used to take the Fourier transform of each frame, and the most significant frequency components are retained while smaller ones are set to zero. Synthesis uses overlapping synthesis windows to reconstruct the signal using the inverse Fourier transform, with the overlap-add method summing the partial reconstructions. This basic c
- Author
- Jitendra Dhiman
- Language
- EN