Speech Signal Framing with Short-Term Analysis
Frame-based speech signal processing including short-term energy calculation, zero-crossing rate detection, and threshold configuration for feature extraction
Explore MATLAB source code curated for "短时能量" with clean implementations, documentation, and examples.
Frame-based speech signal processing including short-term energy calculation, zero-crossing rate detection, and threshold configuration for feature extraction
A self-developed voice signal endpoint detection program utilizing short-term energy and short-term zero-crossing rate methods with algorithmic implementation details.
MATLAB program for speech synthesis in speech signal processing, capable of extracting short-term energy and short-term zero-crossing rate from audio files. The implementation includes frame-based audio processing using windowing techniques and feature calculation algorithms.
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.
Short-time analysis of speech signals including: framing, short-time energy, short-time average magnitude, short-time zero-crossing rate, short-time autocorrelation function, short-time magnitude difference, cepstrum, complex cepstrum, LPC coefficients, and LPC spectral estimation. Guaranteed quality implementation with code explanations for each module - these fundamental programs were assigned by my supervisor after guaranteed graduate admission.
Speech feature extraction techniques including zero-crossing rate, energy ratio, and short-term energy analysis, requiring MAV audio file import with practical code implementation examples.
Simulation of speech signal endpoint detection involving calculations of short-term energy, zero-crossing rate, and autocorrelation functions with algorithm implementation insights.
MATLAB implementation for automatic speech onset and offset detection utilizing short-time energy and zero-crossing rate features of speech signals, with effective performance and practical voice processing applications.
A short-term energy analysis program for speech signals enabling voiced/unvoiced segmentation with frame-based processing and energy thresholding algorithms
Time domain processing techniques for speech signals, including short-time energy, short-time average magnitude, short-time zero-crossing rate, and short-time autocorrelation function analysis methods.