A Hybrid Cepstral–Wavelet Feature Framework with Neural Network Classification for Real-Time Spoken-Digit Recognition
Automatic speech recognition (ASR) remains challenging due to speaker variability, noise, and the complexity of speech signals. This study presents a lightweight hybrid framework for isolated Persian spoken-digit recognition that integrates Mel-frequency cepstral (MFCC-based) preprocessing, the discrete wavelet trans...