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20232026
most citedOptimization of DNN-based speaker verification model through efficient quantization technique

1 citations · 1 across the 7 of their papers we have counts for

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cs.CL2026

MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition

Sangmin Lee, Woojin Chung, Woongjib Choi +1

Massively multilingual automatic speech recognition (ASR) models covering hundreds of languages must maintain robust performance across diverse linguistic and acoustic conditions.…

cs.CL2025

UniCoM: A Universal Code-Switching Speech Generator

Sangmin Lee, Woojin Chung, Seyun Um +1

Code-switching (CS), the alternation between two or more languages within a single speaker's utterances, is common in real-world conversations and poses significant challenges for…

cs.CL2024

LAMA-UT: Language Agnostic Multilingual ASR through Orthography Unification and Language-Specific Transliteration

Sangmin Lee, Woo-Jin Chung, Hong-Goo Kang

Building a universal multilingual automatic speech recognition (ASR) model that performs equitably across languages has long been a challenge due to its inherent difficulties. To a…