Articulatory Feedback For Phonetic Error-Based Pronunciation Training

Tech ID: 34126 / UC Case 2025-173-0

Patent Status

Patent Pending

Brief Description

A verbatim phoneme recognition framework that transcribes what a person actually says, including accents and dysfluencies, to provide precise feedback for pronunciation training.

Suggested uses

  • Advanced pronunciation training systems and language learning applications.

  • Voice-based user interfaces and transcription services to improve accuracy when dealing with non-standard pronunciations.

Advantages

Ability to provide precise, phoneme-level feedback on pronunciation, which is a significant improvement over current methods that often fail to account for phonetic variability.

  • Accurate detection of what is actually said, offering more meaningful articulatory feedback.

  • Development and open-sourcing of the VCTK-accent dataset and the introduction of new evaluation metrics, creating a new standard for assessing phonetic error detection systems.

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Inventors

  • Anumanchipalli, GopalaKrishna

Other Information

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