# End-to-End ASR

> Source: https://sukruyusufkaya.com/en/glossary/end-to-end-asr
> Updated: 2026-05-13T21:08:44.465Z
> Type: glossary
> Category: ses-konusma-audio-ai
**TLDR:** An approach that performs speech-to-text conversion with a single unified network instead of separate acoustic and language models.

<p>End-to-end ASR brings together what was traditionally handled by separate acoustic models, pronunciation lexicons, and language models into a more unified learning framework. This provides advantages in architectural simplicity and large-scale data learning. It has become especially powerful with Transformer- and transducer-based designs. However, in some industries hybrid approaches are still preferred because of explainability, error analysis, and domain-specific vocabulary control.</p>