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…
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,…
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…