Analysis, Processing and Design of Speech Signals

Resource Overview

Speech Signal Analysis, Processing and Design. The MATLAB-based voice changer operates by modifying input audio frequencies to alter timbre and pitch, creating perceptually distinct output sounds. Voice changers employ dual-composite modifications of both timbre and pitch characteristics. For self-generated vocal inputs, formant frequency alteration is achieved through resampling techniques, enabling diverse vocal effects.

Detailed Documentation

This document presents comprehensive analysis, processing, and design methodologies for speech signals. We implement a voice changer using MATLAB, where the core principle involves modifying input audio frequencies to transform vocal timbre and pitch characteristics, resulting in perceptually distinct output sounds. The voice changer achieves audio transformation through dual-composite modifications of both timbre and pitch parameters. For self-generated vocal inputs, formant frequency manipulation is implemented using resampling techniques, which enables the creation of diverse vocal effects. The implementation typically involves frequency domain analysis using FFT, pitch shifting algorithms like phase vocoding, and formant preservation through spectral envelope manipulation.