End-to-End Automatic Speech Recognition (ASR) uses a single neural network to convert spoken language directly into text without separating acoustic, pronunciation, and language models. It simplifies the speech recognition pipeline.
Modern Voice AI platforms increasingly use End-to-End ASR because it improves accuracy, reduces engineering complexity, and adapts more easily to multilingual and domain-specific speech recognition tasks.