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Speech Signal Processing Using Consonant-Vowel Location Detection

Phoneme identification plays a major role in the field of speech processing. Currently, machine learning-based methods are the mainstream, but for devices that cannot incorporate heavy processing, we proposed a non-machine learning method to detect consonant-vowel positions using consonant classification criteria of voicelessness, Place of articulation, and Manner of articulation. The proposed method is composed of Fourier transform and simple operation and considered to be fully applicable to existing digital signal processors. These methods are implemented in MATLAB/Simulink.