Sampling-Based Wavelet Packet Decomposition of Speech Signals
Implementing 3-level wavelet packet decomposition of speech signals and extracting decomposition coefficients using signal processing algorithms
Speech Signal Denoising Using Wavelet Methods
Implementation of wavelet-based denoising techniques for speech signals achieves excellent noise reduction results through multi-resolution analysis and thresholding algorithms.
Speech Signal Analysis Through Filter Processing
MATLAB implementation for analyzing speech signals using digital filters, featuring signal preprocessing, filtering operations, and comprehensive time-frequency domain analysis techniques.
Displaying a Spectrogram of a Speech Signal with MATLAB
Using MATLAB to visualize a speech signal's spectrogram and identify formant characteristics through signal processing techniques
Windowing and Frame Segmentation of Speech Signals
A MATLAB program for windowing and frame segmentation of speech signals with capability for independent window application on any individual frame.
Implementing Spectral Subtraction Noise Reduction with MATLAB
MATLAB implementation of spectral subtraction noise reduction technique, including source code, comparison of original and noise-reduced speech signals, and experimental results visualization.
Application of Spectral Variance in Speech Signal Endpoint Detection with MATLAB Implementation
Spectral Variance for Voice Activity Detection: Practical MATLAB implementation featuring signal processing algorithms, FFT-based spectral analysis, and threshold-based endpoint detection methods.
Recording and Processing Personal Voice Signals with Digital Filtering
Record your own voice signal, perform sampling, and visualize time-domain waveforms and spectrograms. Design filters using window function method and bilinear transform based on specified performance metrics, then analyze frequency response. Apply custom filters to voice signals, compare pre/post-filtering results, playback audio, and create a signal processing system GUI.
LPC Analysis of Speech Signals
MATLAB implementation of speech signal LPC analysis with enhanced code descriptions and algorithm explanations
Microphone-Based Speech Signal Acquisition and Filtering for Noise Reduction
This course project involves acquiring speech signals via microphone and implementing filtering techniques for noise reduction. Developed on MATLAB 7.1 platform, the design process includes three key phases: capturing speech signals with spectral analysis, designing a Hamming window FIR filter, and applying the filter to enhance signal clarity. Post-filtering results demonstrate significant improvements in speech intelligibility, achieving the primary design objective through proper digital signal processing implementation.