Window Functions
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
Before applying digital signal processing to speech signals, frame-based processing is required. This technique divides the signal into smaller time segments where frequency characteristics remain relatively stable. The process is typically implemented by partitioning the signal into overlapping frames using window functions such as the Hamming window. In code implementation, this involves creating a sliding window that moves along the signal with a specified frame length and overlap percentage. Common parameters include frame lengths of 20-40 ms with 50% overlap between consecutive frames. The windowing operation helps reduce spectral leakage by smoothly tapering the signal at frame boundaries. As a result, numerous frames are generated, each containing a short segment of the signal. Each frame is then passed to subsequent digital signal processing stages for further analysis, such as feature extraction or frequency transformation.
- Login to Download
- 1 Credits