Reconstruction Algorithm for Speech Signals Based on Compressed Sensing
A speech signal reconstruction algorithm based on compressed sensing, implementing the Backpropagation (BP) neural network algorithm for signal recovery and reconstruction.
MATLAB Implementation of Wavelet Transform-Based Speech Signal Denoising Using Thresholding
A MATLAB program utilizing wavelet transforms for speech signal denoising through threshold-based noise removal, featuring parameter optimization capabilities
Accurate Calculation of One-Third Octave Bands for Speech and Noise Signals
Precise computation of one-third octave bands for speech or noise signals with implementation insights
Cepstrum Analysis of Speech Signals
Perform cepstral analysis on speech signals to generate signal waveforms and cepstrum graphs with MATLAB implementation details
Wavelet Decomposition of Speech Signals Using Different Wavelets
Implement speech signal decomposition with various wavelets in MATLAB, extract multi-level high/low frequency coefficients, visualize coefficient waveforms, and perform signal reconstruction.
Voice Signal Endpoint Detection and Pitch Trajectory Detection
Speech Signal Processing - Implementing endpoint detection and pitch trajectory tracking for input voice signals using autocorrelation function (ACF), average magnitude difference function (AMDF), and combined ACF/AMDF methods with code implementation details.
Baseband Communication Transmission System Simulation for Speech Signals Based on DPCM Encoding and Cyclic Codes
Communications Principles Course Project: Simulation of Speech Signal Baseband Communication Transmission System Using DPCM Coding and Cyclic Code Error Correction
MATLAB-Based Software Interface for Speech Signal Processing
A MATLAB-developed software interface for speech signal processing featuring audio mixing, playback functionality, and time-frequency domain waveform visualization capabilities
Training Speech Signals with Baum Algorithm in HMM Models for Speech Recognition using MATLAB
MATLAB source code implementation of Baum algorithm for training speech signals in Hidden Markov Model (HMM) based speech recognition systems
Analysis, Processing and Design of Speech Signals
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.