Table 4: Comparison of proposed methodology with state-of-the-art ASR systems.

ASR SystemsMethodologyAccuracy

Proposed Methodology ()MFCC + HTK (8-state HMM)97.9%
MSIAC (Liu et al., 2017) [15]MFCC + GMMExperiment 189.50%
Experiment 285.92%
TAMEEM V1.0 (Abushariah, 2017) [45]MFCC + Sphinx 392.36%
Speaker Identification System (Leu and Lin, 2017) [46] MFCC + GMMExperiment 194.08%
Experiment 284.88%
Telugu Speech Signals (Mannepalli et al., 2016) [47]MFCC − GMM92%
AMAZIGH LANGUAGE (Elouahabi et al., 2016) [48]MFCC + HTK (6-state HMM)80%