9 citations · 17 across the 4 of their papers we have counts for
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cs.CL2026
Lexical Tone is Hard to Quantize: Probing Discrete Speech Units in Mandarin and Yorùbá
Opeyemi Osakuade, Simon King
Discrete speech units (DSUs) are derived by quantising representations from models trained using self-supervised learning (SSL). They are a popular representation for a wide variet…
cs.CL2024
Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions?
Opeyemi Osakuade, Simon King
Discrete representations of speech, obtained from Self-Supervised Learning (SSL) foundation models, are widely used, especially where there are limited data for the downstream task…
cs.CL2021★ 9 cited
NaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian Languages
Wuraola Fisayo Oyewusi, Olubayo Adekanmbi, Ifeoma Okoh +5
Most of the common applications of Named Entity Recognition (NER) is on English and other highly available languages. In this work, we present our findings on Named Entity Recognit…