Neural Automatic Speech Recognition (Neural ASR) uses deep neural networks to convert spoken language into text with higher accuracy than traditional speech recognition methods.
Modern Voice AI platforms use Neural ASR to transcribe conversations, power AI agents, support multilingual interactions, and improve recognition accuracy across accents, dialects, and noisy environments.