Computer-Assisted Visual Articulation Feedback in L2 Pronunciation Instruction: A Review

Area of Science:

• Linguistics
• Speech Science
• Educational Technology

Background:

• Language acquisition is multimodal, involving auditory and visual information.
• Pronunciation improvement benefits from understanding articulatory movements.
• Computer-assisted pronunciation training (CAPT) offers new feedback modalities.

Purpose of the Study:

• To survey the literature on computer-assisted visual articulation feedback for language learners.
• To categorize visual feedback into direct and indirect methods.
• To discuss effective feedback delivery and evaluation.

Main Methods:

• Literature review of computer-assisted visual articulation feedback.
• Focus on segmental features of speech production.
• Analysis of direct (visual models) and indirect (visualized acoustics) feedback.

Main Results:

• Visual feedback in CAPT can model articulatory configurations and movements.
• Visualized acoustic information can inform articulation instruction.
• Effective feedback delivery criteria and evaluation methods are considered.

Conclusions:

• Visual articulation feedback is a valuable component of multimodal language learning.
• Further research can optimize the design and implementation of visual feedback in CAPT.
• Integrating visual feedback enhances the efficacy of pronunciation training.