Improved frame-wise segmentation of audio signals for smart hearingaid using particle swarm optimization-based clustering

HIGHLIGHTS

• who: Tushar Mehrotra and collaborators from the College of Computing Sciences and IT, Teerthanker Mahaveer University, Moradabad, India have published the article: Improved Frame-Wise Segmentation of Audio Signals for Smart HearingAid Using Particle Swarm Optimization-Based Clustering, in the Journal: Mathematical Problems in Engineering of 23/01/2022
• what: This study proposed a novel PSO-based clustering method to categorize speech into three categories: quiet, voice, and unvoiced. The main contributions of the study are to: (i) Classify the speech classes as voice, unvoiced, or silence by using particle swarm optimization (PSO)based classification . . .
  

   

  

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