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Nan-Ling Jiang

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#machine learning Preprint Aug 2026

Latent Softmax for Data-Efficient Phoneme-Based Multilingual ASR Across Tonal and Non-Tonal Languages

Latent Softmax is proposed, a connectionist temporal classification (CTC)-compatible output layer that models tone-marked vowels as subclasses and base vowels as major classes, while consonants and the CTC blank remain singleton labels.

Saierdaer Yusuyin, Nan-Ling Jiang, Hao Huang et al. · 0 citations