MATLAB-Based Digital Speech Recognition System with GUI Interface

MATLAB 17.95M 292 views 2 downloads 1 credits
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Resource Overview

This design implements HMM-based speech signal recognition using MATLAB, capable of identifying digits 0-9 with a comprehensive GUI. The algorithm workflow includes: displaying original waveform, zoomed end-section waveform, short-term energy analysis, threshold setting, and endpoint detection. The system supports noise addition for accuracy comparison and allows secondary development into keypad-style telephone dial tone recognition.

Detailed Documentation

This MATLAB-based HMM speech recognition system identifies digits 0-9 through an interactive GUI interface. The algorithm sequentially displays the original waveform for visual signal analysis, followed by a zoomed waveform at the speech endpoint for detailed observation. It then computes and displays short-term energy values using frame-based processing (typically 20-30ms frames) to evaluate signal intensity. After setting adaptive thresholds through statistical analysis, the system performs endpoint detection using dual-threshold methods to identify speech boundaries. For robustness testing, users can add Gaussian or environmental noise to compare recognition accuracy under different SNR conditions. The modular code structure allows secondary development, potentially extending to keypad-style interfaces using DTMF decoding algorithms for telephone dial tone recognition.

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