WAV File Preprocessing
WAV file preprocessing including pre-emphasis, framing, merging, with successful test results and code implementation details
Spectral Subtraction for Speech Enhancement
Load speech file, generate random noise, synthesize noisy speech signal, and define parameter settings. Step 2: Frame segmentation with 50% overlap. Step 3: Apply Hamming window and perform Fourier transform to obtain power spectrum and phase spectrum. Step 4: Execute magnitude spectral subtraction and use the noisy speech phase for signal resynthesis via inverse Fourier transform. Step 5: Remove Hamming window to obtain enhanced speech signal. Step 6: Calculate SNR before and after enhancement.
Speech Signal Framing with Short-Term Analysis
Frame-based speech signal processing including short-term energy calculation, zero-crossing rate detection, and threshold configuration for feature extraction
MATLAB Source Code for Short-Time Analysis of Speech Signals
Short-time analysis of speech signals including: framing, short-time energy, short-time average magnitude, short-time zero-crossing rate, short-time autocorrelation function, short-time magnitude difference, cepstrum, complex cepstrum, LPC coefficients, and LPC spectral estimation. Guaranteed quality implementation with code explanations for each module - these fundamental programs were assigned by my supervisor after guaranteed graduate admission.
High-Quality Speech Processing Toolbox
Comprehensive speech processing toolbox featuring essential modules including frame segmentation, signal preprocessing, and fundamental frequency (F0) estimation algorithms
MATLAB Voice Processing Toolbox Implementation
A comprehensive voice processing toolbox providing fundamental functions including frame splitting, energy computation, zero-crossing rate calculation, multiple pitch extraction methods, formant extraction, and more.
Isolated Word Speech Recognition System Based on Dynamic Time Warping (DTW)
Implementation framework including speech database construction, audio preprocessing, frame segmentation, endpoint detection, and feature analysis with code-level algorithm explanations
Short-Term Analysis of Speech Signals
Short-term analysis of speech signals includes key components such as frame splitting, short-term energy, short-term average magnitude, short-term zero-crossing rate, short-term autocorrelation function, short-term magnitude difference, cepstrum, complex cepstrum, LPC coefficients, and LPC spectral estimation. These fundamental programs assigned by my supervisor after securing postgraduate admission ensure absolute quality through robust implementation.
Time-Domain Feature Extraction for Speech Signals
MATLAB-based implementation of speech signal time-domain feature extraction including frame splitting, zero-crossing rate, short-term energy, and spectrogram analysis with code examples and algorithm explanations.