Analysis, Processing, and Design of Speech Signals
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Resource Overview
Speech signal analysis, processing, and design. The MATLAB-based voice changer operates by modifying the input sound's frequency to alter timbre and pitch, creating perceptually different output. This dual modulation of timbre and pitch transforms vocal characteristics. User-generated voice inputs leverage resampling techniques for formant frequency shifting, implementing key DSP algorithms including frequency scaling and spectral envelope modification through functions like resample(), pitch shifting, and formant correction.
Detailed Documentation
This document discusses the process of speech signal analysis, processing, and design. The MATLAB voice changer implementation works by modifying input sound frequencies to alter timbre and pitch characteristics, resulting in perceptually distinct output compared to the original voice. The system achieves voice transformation through dual compound modifications of both timbre and pitch parameters. Additionally, using self-generated vocal inputs, formant frequency alteration is implemented via resampling techniques - a process achievable through MATLAB's resample() function combined with spectral analysis using FFT operations and formant tracking algorithms for precise frequency manipulation.
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