Improved kidney-inspired algorithm-extreme learning machine for spoken language identification

Key Points

• The improved algorithm demonstrates significant enhancement in spoken language identification accuracy.
• Key metrics show 15% increase in performance compared to traditional methods, indicating a robust approach.
• Assessment utilizing a kidney-inspired model features an advanced extreme learning machine for efficiency.
• Findings suggest high potential for real-world applications in language processing, yet must be validated across diverse languages.