Explore MATLAB source code curated for "端点检测" with clean implementations, documentation, and examples.
A self-developed program implementing speech frame segmentation, windowing, noise reduction, and endpoint detection algorithms, successfully debugged and optimized for speech signal processing
MATLAB implementation for speech recognition preprocessing including endpoint detection, pre-emphasis, and windowing techniques with algorithmic explanations
Speech Signal Processing - Implementing endpoint detection and pitch trajectory tracking for input voice signals using autocorrelation function (ACF), average magnitude difference function (AMDF), and combined ACF/AMDF methods with code implementation details.
An entropy-based endpoint detection algorithm that provides more precise endpoint identification compared to traditional detection methods, with implementation approaches using signal entropy analysis.
Endpoint detection effectively processes speech signals with excellent detection performance, including implementation of key algorithms for speech onset/offset identification
MATLAB implementation for plotting Hanning, Hamming, and Blackman windows in a single figure, with practical applications in speech frame segmentation, windowing, short-time energy calculation, zero-crossing rate analysis, and endpoint detection algorithms.
Endpoint Detection and Isolated Word Recognition Based on DTW and HMM for Continuous Speech Recognition Systems
Spectral Variance for Voice Activity Detection: Practical MATLAB implementation featuring signal processing algorithms, FFT-based spectral analysis, and threshold-based endpoint detection methods.
MATLAB program for T-S fuzzy neural network implementation, designed for endpoint detection applications with detailed algorithm explanations and code structure overview
Speaker recognition code implementation featuring endpoint detection, pre-emphasis, MFCC feature extraction, and neural network classification model