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20242026
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6 papers · 1 filter

eess.AS2026

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…

eess.AS2026

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…

eess.AS2026

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…

eess.AS2025

Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting

Youngmoon Jung, Yong-Hyeok Lee, Myunghun Jung +3

For text enrollment-based open-vocabulary keyword spotting (KWS), acoustic and text embeddings are typically compared at either the phoneme or utterance level. To facilitate this,…

eess.AS2024

Text-Aware Adapter for Few-Shot Keyword Spotting

Youngmoon Jung, Jinyoung Lee, Seungjin Lee +3

Recent advances in flexible keyword spotting (KWS) with text enrollment allow users to personalize keywords without uttering them during enrollment. However, there is still room fo…

eess.AS2024

Relational Proxy Loss for Audio-Text based Keyword Spotting

Youngmoon Jung, Seungjin Lee, Joon-Young Yang +3

In recent years, there has been an increasing focus on user convenience, leading to increased interest in text-based keyword enrollment systems for keyword spotting (KWS). Since th…