作者位次 #4/5ACL 2026OralOutstanding Paper· Natural Language Processing
M au BERT : Universal Phonetic Inductive Biases for Few-Shot Acoustic Units Discovery
Angelo Ortiz Tandazo · manel khentout · Youssef Benchekroun · Thomas Hueber · Emmanuel Dupoux
摘要
This paper introduces MauBERT, a multilingual extension of HuBERT that leverages articulatory features for robust cross-lingual phonetic representation learning. We continue HuBERT pre-training with supervision based on a phonetic-to-articulatory feature mapping in 55 languages. Our models learn...