Speech Signal Enhancement Using Spectral Subtraction Method
MATLAB implementation of spectral subtraction for speech signal enhancement, featuring tested and effective noise reduction performance with detailed algorithmic processing.
Speaker Recognition System Using Vector Quantization (VQ) Method
A speaker recognition program implemented with Vector Quantization (VQ) technique, which can be converted to C programming language for optimized performance. The algorithm involves feature extraction, codebook generation, and pattern matching for sp
MATLAB Calculation and Visualization of Short-Term Energy Curve or Short-Term Average Amplitude Curve
Record your own audio signal, convert its sampling rate to 44100Hz, then use MATLAB to compute and plot either the short-term energy curve or short-term average amplitude curve (choose one). Implementation uses 20ms frame length, 10ms frame shift, an
Preprocessing and Feature Extraction for Speech Signals
Perform preprocessing on a speech signal, including windowing, calculating zero-crossing rate, short-term energy, and extracting various speech signal feature parameters. This process involves time-domain analysis techniques commonly implemented usin
Voice Recognition Using MFCC Feature Extraction
Voice Recognition Implementation Using Mel-Frequency Cepstral Coefficients (MFCC) for Audio Feature Extraction with Python Code Examples
Speech Recognition Implementation Using DTW+VQ Provided by UIUC
UIUC's DTW+VQ-based speech recognition system with samples - simply rename .txt files to .m for immediate use, featuring dynamic time warping and vector quantization algorithms for pattern matching and feature compression.
Cepstrum Separates Spectral Envelope and Fundamental Frequency Spectrum
When multiple signals are superimposed, cepstrum analysis can detect their fundamental frequencies. While primarily used in homomorphic filtering for signal deconvolution, cepstrum analysis - particularly for voice signals - effectively separates spe
Wavelet Denoising - Speech Signal Enhancement in Noisy Environments
MATLAB wavelet denoising program for speech signal enhancement in noisy environments, using imported audio files as speech signals with additive Gaussian random noise, performing 1D discrete wavelet inverse transformation using db3 wavelet basis with
Speech Signal Endpoint Detection Program
Speech signal endpoint detection program capable of clearly distinguishing silent segments from speech segments with automatic plotting functionality
HMM Toolbox
HMM Toolbox for Sequence Data Analysis and Modeling
MMSE Speech Denoising Algorithm
MMSE Speech Denoising Algorithm using Wiener Filter approach with moderate computational complexity suitable for real-time processing
LSB-Based Audio Watermark Embedding and Extraction Algorithm
Audio watermark embedding and extraction algorithm based on LSB (Least Significant Bit) technique, with text file as hidden information
Formant Extraction Algorithms for Speech Signals
Algorithms for Extracting Formants from Speech Signals with Code Implementation Approaches
Fundamental Kalman Filtering and Adaptive Filtering for Speech Denoising
Implementation of basic Kalman filtering and adaptive filtering techniques for speech denoising applications
MATLAB-Based Speech Recognition Program with MFCC and SVM Implementation
This example implements a speech recognition system in MATLAB using traditional MFCC feature extraction and popular SVM classifier, serving as an excellent baseline for comparative studies. The implementation includes feature extraction pipeline and
Signal Processing Through Filters with Time-Frequency Domain Analysis of Output Signals
Acquisition of a monaural audio signal (.wav) via WAVREAD function sampling, followed by spectral analysis. Design of low-pass, high-pass, and band-pass FIR filters using windowing method and IIR filters via bilinear transform method. Implementation
Kalman Filter Application in Speech Processing
This program implements Kalman filter algorithm for speech processing applications, effectively removing noise and achieving speech enhancement through state estimation and prediction techniques.
Fundamental MATLAB Processing Programs for Speech Signal Processing
Essential MATLAB processing programs for speech signal analysis, including waveform reading, voiced/unvoiced detection, windowing, zero-crossing rate calculation, short-time energy analysis, and maximum pitch detection. The package concludes with a d
Voice Activity Detection for Audio Segmentation
Voice endpoint detection system designed to segment continuous speech signals into isolated words or phrases, with implementation details on signal processing algorithms and threshold-based detection methods.
Two-Dimensional PCA for Face Representation and Recognition with Implementation Code
This repository contains the original author's implementation code for Two-Dimensional PCA (2DPCA) - a novel approach for appearance-based face representation and recognition published in IEEE PAMI. The paper has received 681 citations on Google Scho