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B. Mohammed

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Open access Sep 2026

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...

B. Mohammed, Abdulraheem Ahmed, Asaad Ibrahim et al. · 0 citations

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