Computing Short-Term Energy of Audio Signals
Calculate short-term energy and zero-crossing rate of audio signals, then perform voice activity endpoint detection with algorithmic implementation insights
Calculating Short-Term Energy and Zero-Crossing Rate for Speech Files
Read speech files, perform frame splitting and windowing, and calculate short-term energy and zero-crossing rate for speech files. This can be used for the development and research of music humming retrieval systems, including algorithm implementation and feature extraction techniques.
Speech Signal Short-Time Spectrum and Autocorrelation Function Analysis
MATLAB implementation for speech signal analysis featuring short-time spectrum computation, autocorrelation function, and zero-crossing rate calculation. The codebase provides well-structured functions with clear algorithmic implementations suitable for both educational and research purposes.
Multiple Algorithms for Voice Signal Endpoint Detection
Various algorithms for voice signal endpoint detection, including time-domain short-term energy algorithm, short-term zero-crossing rate algorithm, and wavelet denoising procedures with implementation insights.
MATLAB Code Implementation for Speech Feature Extraction
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.
Speech Signal Endpoint Detection Simulation
Simulation of speech signal endpoint detection involving calculations of short-term energy, zero-crossing rate, and autocorrelation functions with algorithm implementation insights.
Time Domain Processing of Speech Signals
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.
Time-Domain Feature Extraction for Speech Signals
MATLAB-based implementation of speech signal time-domain feature extraction including frame splitting, zero-crossing rate, short-term energy, and spectrogram analysis with code examples and algorithm explanations.
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 using signal processing libraries.
MATLAB-based Endpoint Detection Program Using Energy and Zero-Crossing Rate
A MATLAB implementation of endpoint detection algorithm combining energy analysis and zero-crossing rate calculation for accurate audio signal segmentation