Pronunciation Models

Pronunciation models are systems used in speech technology to predict how words are spoken. They interpret written words and generate their correct sound patterns, helping computers understand and produce speech accurately. These models analyze aspects like phonemes (basic sounds), stress, and intonation to match pronunciation variations across different speakers and contexts. Essentially, they serve as the rule-based or data-driven frameworks that guide software in converting text into natural-sounding speech or recognizing spoken words, enabling applications like virtual assistants, speech recognition, and language learning tools to work effectively.