Preprocessing and Feature Extraction for Speech Signals
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Resource Overview
Perform preprocessing on a speech signal, including windowing, calculating zero-crossing rate, short-term energy, and extracting various speech signal feature parameters. This process involves time-domain analysis techniques commonly implemented using signal processing libraries.
Detailed Documentation
When processing a speech signal, preprocessing is performed initially, which includes applying windowing to the signal, followed by calculating various speech signal feature parameters such as zero-crossing rate and short-term energy. In implementation, windowing typically uses Hamming or Hanning windows to reduce spectral leakage, while zero-crossing rate and short-term energy calculations help identify speech activity and segment boundaries through frame-based analysis.
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