The addressed methods include extraction of MFCC with narrower filter bank followed by a fuzzy-based feature selection method. To solve this problem, this study addresses representation of relevant and discriminative features for children's speech recognition. Considering the age-dependent variational acoustical speech parameters, performance of the automatic speech recognition (ASR) systems degrades in recognition of children's speech. This paper proposes a novel fuzzy-based discriminative feature representation to address the recognition of Malay vowels uttered by children. Conventional feature extraction method namely Mel-frequency cepstral coefficient (MFCC) is not efficient for children's speech recognition. Automatic recognition of the speech of children is a challenging topic in computer-based speech recognition systems.
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June 2023
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