Researchers use RL-based neural architecture search to find compact audio-visual speech enhancement models for edge devices, cutting parameters from 22M to 2.9M while maintaining strong performance.

#AudioVisualAI #NeuralArchitectureSearch #EdgeAI #SpeechProcessing
https://arxiv.org/abs/2610.12796