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Mushaffa Rasyid Ridha

2 accepted papers

2025

Toward Visual Pronunciation Learning: A Speech-to-Articulatory Animation Pipeline Leveraging wav2vec 2.0 and rtMRI Landmarks

ICASSP 2025accepted

Most computer-assisted pronunciation training (CAPT) systems for second language (L2) learners focus on detecting mispronunciation based on predefined phonemes and assigning pronunciation scores. However, these systems often lack visual feedback or detailed corrective guidance, limiting learners’ op…

Cited by 0SourceScholar
2024

Refining rtMRI Landmark-Based Vocal Tract Contour Labels with FCN-Based Smoothing and Point-to-Curve Projection

COLING 2024main

Advanced real-time Magnetic Resonance Imaging (rtMRI) enables researchers to study dynamic articulatory movements during speech production with high temporal resolution. However, accurately outlining articulator contours in high-frame-rate rtMRI presents challenges due to data scalability and image…

Cited by 1SourcePDFScholar