Professional MATLAB source code with comprehensive documentation and examples
This workflow demonstrates comprehensive speech signal processing including reading audio files using MATLAB's wavread function, frame segmentation, windowing, voiced/unvoiced detection, fundamental frequency extraction, LPC parameter analysis using
Speech Recognition (commonly abbreviated) refers to the translation of spoken words into text. It is also known as "Automatic Speech Recognition (ASR)", "Computer Speech Recognition", or "Speech-to-Text (STT)". The technology finds applications in vo
MATLAB-based course design for voice signal analysis and processing involving recording personal voice signals, signal sampling, time-domain waveform and spectrogram plotting, filter design using window function method or bilinear transformation with
Implementation of three noise reduction methods with echo suppression and pitch modulation capabilities, featuring a comprehensive UI interface for audio signal processing
A MATLAB-implemented Hidden Markov Model (HMM) speech recognition system with comprehensive feature extraction and post-processing capabilities.
Ready-to-run MATLAB code for comprehensive audio control and playback, featuring detailed implementation explanations and function descriptions.
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
This implementation provides a comprehensive speech signal processing solution featuring DTW algorithm alongside endpoint detection, MFCC feature extraction, and dynamic time warping components, ready for direct deployment with robust code architectu
This project provides detailed implementation of speech separation algorithms for multiple overlapping speakers, including complete source code and test audio samples. The system employs deep learning architectures to effectively isolate individual v
Implementation of LPCC (Linear Predictive Cepstral Coefficients) as a speech feature extraction method for speech recognition systems developed using MATLAB, including algorithmic steps and signal processing techniques.
Linear Predictive Coding (LPC) is one of the most effective analysis methods in speech signal processing, enabling identification of pitch periods or formants through LPC spectrum and LPCC spectrum analysis combined with LPC detection methods. MATLAB
MATLAB source code implementation of Baum algorithm for training speech signals in Hidden Markov Model (HMM) based speech recognition systems
Performing energy spectrum analysis on voice information in speech recognition to obtain spectrograms and statistically analyze frequency characteristics across all audio data.
Maximum Likelihood Linear Regression (MLLR) Algorithm for Speech Recognition with Implementation Insights
A MATLAB-developed software interface for speech signal processing featuring audio mixing, playback functionality, and time-frequency domain waveform visualization capabilities
1. Perform time-frequency analysis on noisy speech signals using spectrogram and periodogram methods 2. Design appropriate digital filters (FIR/IIR) for denoising through frequency response analysis 3. Conduct post-denoising time-frequency analysis t
An audio watermarking implementation utilizing Discrete Cosine Transform (DCT), synchronization signals, and segmented audio processing for robust watermark embedding and extraction.
Record your own voice signal and sample the recorded signal; plot the time-domain waveform and spectrogram of the sampled voice signal; design a filter using the window function method and bilinear transform based on specified filter performance requ
MATLAB Implementation of Digital Reverberation Algorithm for Audio Processing with Detailed Code Descriptions and Signal Processing Techniques
This MATLAB-based speech recognition program implements voice detection and filtering techniques, featuring comprehensive audio signal processing capabilities for accurate speech analysis.