Author

Liming Wang

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Preprint Aug 2026

Unsupervised Speech Recognition at the Syllable Level

This paper introduces a syllable-level UASR framework based on masked language modeling, which avoids the need for G2P and the instability of GAN-based methods and generalizes effectively to low-resource languages that have remained particularly difficult for prior methods.

Liming Wang, Kai-Wei Chang, K. Kashino et al. · 0 citations