Improved feature parameter extraction from speech signals using machine learning algorithm

HIGHLIGHTS

  • who: Akmalbek Bobomirzaevich Abdusalomov et al. from the Department of Computer Engineering, Gachon University, Sujeong-gu, Seongnam-si, Gyeonggi-do, Korea have published the Article: Improved Feature Parameter Extraction from Speech Signals Using Machine Learning Algorithm, in the Journal: Sensors 2022, 8122 of 24/Oct/2022
  • what: This study proposes a machine learning-based approach that performs feature parameter extraction from speech signals to improve the performance of speech recognition applications in real-time smart city environments. The Two-dimensional (2D)used signals used for spectral in the experiments 2D spectral analysis characteristics that are . . .

     

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