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What is Phoneme Recognition in Self-Supervised Speech Models about?
This study evaluates the phoneme recognition performance of a self-supervised speech model using direct articulatory observation, revealing significant differences in recognition, particularly among front vowels, between American English and Indian English speakers. Utilizing real-time MRI-based articulatory analysis, the research identifies distinct articulation patterns associated with these phoneme recognition variances. The findings emphasize the need for a deeper understanding of speech model performan
- Author
- Fatan Ariful
- Language
- EN