3 citations · 6 across the 5 of their papers we have counts for
5 papers
Triage knowledge distillation for speaker verification
Ju-ho Kim, Youngmoon Jung, Joon-Young Yang +3
Deploying speaker verification on resource-constrained devices remains challenging due to the computational cost of high-capacity models; knowledge distillation (KD) offers a remed…
MATE: Matryoshka Audio-Text Embeddings for Open-Vocabulary Keyword Spotting
Youngmoon Jung, Myunghun Jung, Joon-Young Yang +3
Open-vocabulary keyword spotting (KWS) with text-based enrollment has emerged as a flexible alternative to fixed-phrase triggers. Prior utterance-level matching methods, from an em…
DAME: Duration-Aware Matryoshka Embedding for Duration-Robust Speaker Verification
Youngmoon Jung, Joon-Young Yang, Ju-ho Kim +3
Short-utterance speaker verification remains challenging due to limited speaker-discriminative cues in short speech segments. While existing methods focus on enhancing speaker enco…
Pinyin Regularization in Error Correction for Chinese Speech Recognition with Large Language Models
Zhiyuan Tang, Dong Wang, Shen Huang +1
Recent studies have demonstrated the efficacy of large language models (LLMs) in error correction for automatic speech recognition (ASR). However, much of the research focuses on t…
CTC-aligned Audio-Text Embedding for Streaming Open-vocabulary Keyword Spotting
Sichen Jin, Youngmoon Jung, Seungjin Lee +3
This paper introduces a novel approach for streaming openvocabulary keyword spotting (KWS) with text-based keyword enrollment. For every input frame, the proposed method finds the…