MATLAB Speech Recognition Platform

This article introduces an outstanding MATLAB speech recognition platform developed by Professor Yang Lidong's Speech Recognition Research Group. The platform offers exceptional usability where users can simply type "MAIN" in the MATLAB command window to initialize the system. This comprehensive platform incorporates multiple robust features supporting efficient and accurate speech recognition tasks. It implements various speech recognition algorithms and models, including Hidden Markov Models (HMMs) and Gaussian Mixture Models (GMMs), to handle diverse speech recognition scenarios. The system architecture includes essential audio processing functions such as MFCC (Mel-Frequency Cepstral Coefficients) feature extraction, voice activity detection, and endpoint detection algorithms. The platform provides an extensive library of speech processing tools and functions that facilitate audio data preprocessing (including noise reduction and normalization) and post-processing operations. Key implemented functions include signal framing, windowing, FFT transformation, and feature vector normalization. This MATLAB speech recognition platform serves as a highly recommended tool that demonstrates significant value in both academic research and practical applications, offering modular code structure that allows for easy customization and extension of recognition pipelines.