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20232026
most citedFacilitating Personalized TTS for Dysarthric Speakers Using Knowledge Anchoring and Curriculum Learning

3 citations · 4 across the 19 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.SD2024

Audio-Based Linguistic Feature Extraction for Enhancing Multi-lingual and Low-Resource Text-to-Speech

Youngjae Kim, Yejin Jeon, Gary Geunbae Lee

The difficulty of acquiring abundant, high-quality data, especially in multi-lingual contexts, has sparked interest in addressing low-resource scenarios. Moreover, current literatu…

cs.CL2024★ 1 cited

An Investigation Into Explainable Audio Hate Speech Detection

Jinmyeong An, Wonjun Lee, Yejin Jeon +3

Research on hate speech has predominantly revolved around detection and interpretation from textual inputs, leaving verbal content largely unexplored. While there has been limited…

cs.CL2024

Leveraging the Interplay Between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation

Yejin Jeon, Yunsu Kim, Gary Geunbae Lee

Contemporary neural speech synthesis models have indeed demonstrated remarkable proficiency in synthetic speech generation as they have attained a level of quality comparable to th…

cs.SD2024

Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication

Yejin Jeon, Gary Geunbae Lee

This paper explores the task of language-agnostic speaker replication, a novel endeavor that seeks to replicate a speaker's voice irrespective of the language they are speaking. To…

cs.SD2024

Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations

Yejin Jeon, Yunsu Kim, Gary Geunbae Lee

Zero-shot multi-speaker TTS aims to synthesize speech with the voice of a chosen target speaker without any fine-tuning. Prevailing methods, however, encounter limitations at adapt…