MATLAB Program for Pitch Frequency Extraction from Speech Signals
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Resource Overview
A MATLAB implementation that extracts pitch frequency from speech signals. The program processes .wav audio files as input and outputs pitch frequency values for each frame, featuring advanced signal processing algorithms like autocorrelation or cepstrum analysis for accurate pitch detection.
Detailed Documentation
This MATLAB program is designed to extract pitch frequency from speech signals. It accepts .wav format audio files as input and outputs pitch frequency values for each processed frame. The implementation typically utilizes signal processing techniques such as autocorrelation analysis, which calculates the similarity between a signal and its time-shifted version to identify periodic patterns, or cepstrum analysis that converts the spectrum to a quefrency domain for pitch detection.
Key functions may include:
- Audio file reading and preprocessing (normalization, framing)
- Frame-based signal processing with windowing functions
- Pitch detection algorithms with peak-picking logic
- Post-processing for pitch smoothing and outlier removal
This tool enables comprehensive analysis of pitch characteristics in speech signals, facilitating better understanding and processing of speech data for applications in speech recognition, voice analysis, and audio processing research.
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