Short-Term Analysis of Speech Signals
Implementing short-term analysis of speech signals using MATLAB, including voiced/unvoiced decision and pitch period estimation with signal processing techniques
Professional MATLAB source code with comprehensive documentation and examples
Implementing short-term analysis of speech signals using MATLAB, including voiced/unvoiced decision and pitch period estimation with signal processing techniques
This program implements pitch shifting while maintaining original tempo, enabling male-to-female voice conversion and vice versa, with comprehensive audio manipulation capabilities.
1. Single-channel speech enhancement algorithm implementation; 2. A noise estimation algorithm capable of rapidly tracking noise variations based on statistical characteristics of noise, combined with spectral subtraction for noise elimination; 3. Mo
MATLAB program for audio file reading featuring comprehensive code comments and sampling rate configuration capabilities
This energy-based speech detection algorithm using multi-band spectral entropy demonstrates superior performance compared to traditional spectral entropy methods, with enhanced noise robustness and detection accuracy across various acoustic environme
Complete MATLAB source code for audio watermark embedding and extraction, ready to run with comprehensive implementation including key algorithms and functions
This speaker recognition and training system provides extensive source code covering complete implementation details, including signal processing workflows and machine learning algorithms for voice pattern analysis.
Implementation of Butterworth and Chebyshev bandpass filters for audio processing, featuring input/output WAV file handling with 300-3300Hz frequency retention, widely applicable in audio filtering applications with MATLAB/Python code examples
Complete source code from Zhang Xueying's digital speech processing with MATLAB simulations, featuring comprehensive implementations for each chapter with detailed algorithmic explanations and function descriptions.
Speech recognition example code utilizing voice mailbox dataset. Implementation employs Hidden Markov Model (HMM) classification with Mel-Frequency Cepstral Coefficients (MFCC) parameterization for feature extraction.
Frame-based speech signal processing including short-term energy calculation, zero-crossing rate detection, and threshold configuration for feature extraction
Audio watermarking program with white noise integration, implementing 3-level wavelet decomposition to embed random sequences into low-frequency coefficients
MATLAB program for sound loudness computation based on ISO 532 standard (Zwicker's model), featuring implementations for overall loudness, short-term loudness, and impulsive loudness calculations with detailed algorithm descriptions
Complex Cepstrum Domain Filtering for Removing Signal Reverberation Components. This method employs complex cepstrum domain transformation and complex cepstrum filtering to eliminate reverberation components from single-channel speech signals, thereb
A MATLAB implementation that extracts pitch frequency from speech signals. The program processes .wav audio files as input and outputs pitch frequency values for each frame, featuring advanced signal processing algorithms like autocorrelation or ceps
MATLAB-based implementation of Short-Time Fourier Transform featuring audio file reading functionality, enabling comprehensive time-frequency analysis of speech signals
Classic MATLAB code implementations for speech recognition, featuring acoustic feature extraction, signal preprocessing, and GMM-based recognition systems with detailed algorithmic explanations
This program demonstrates how to use MATLAB's Data Acquisition Toolbox to capture two seconds of audio data from a sound card, extract frequency components, and visualize the results through plotting operations.
Implementing short-time analysis of speech signals using MATLAB, including voiced/unvoiced decision, pitch period estimation, and experimental report preparation with code implementation details.
Voice endpoint detection program from J.S. Roger Jang's "Audio Processing and Recognition" book with algorithm implementation details