English Speech Database for MATLAB Applications

This English speech database is fully compatible with MATLAB and supports both speech synthesis and speech recognition applications. The database provides extensive voice samples and acoustic feature datasets, enabling researchers to conduct in-depth analysis and model development. Users can leverage MATLAB's signal processing toolbox to extract features such as MFCCs (Mel-Frequency Cepstral Coefficients) and pitch contours for training speech recognition models. The database incorporates various English accents and pronunciation variants, making it suitable for developing robust speech systems that accommodate diverse linguistic characteristics. Implementation typically involves using MATLAB's audioread function for data loading and preprocessing, followed by feature extraction algorithms like spectrogram analysis or deep learning approaches using Neural Network Toolbox. This resource serves as a valuable foundation for advancing speech technology research and improving the accuracy of both speech synthesis and recognition systems.