3 citations · 8 across the 5 of their papers we have counts for
5 papers
Talking Face Generation with Multilingual TTS
Hyoung-Kyu Song, Sang Hoon Woo, Junhyeok Lee +5
In this work, we propose a joint system combining a talking face generation system with a text-to-speech system that can generate multilingual talking face videos from only the tex…
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition
Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth +3
State-of-the-art automatic speech recognition (ASR) systems perform well on healthy speech. However, the performance on impaired speech still remains an issue. The current study ex…
Improving Dysarthric Speech Intelligibility Using Cycle-consistent Adversarial Training
Seung Hee Yang, Minhwa Chung
Dysarthria is a motor speech impairment affecting millions of people. Dysarthric speech can be far less intelligible than those of non-dysarthric speakers, causing significant comm…
A Scalable Chatbot Platform Leveraging Online Community Posts: A Proof-of-Concept Study
Sihyeon Jo, Seungryong Yoo, Sangwon Im +5
The development of natural language processing algorithms and the explosive growth of conversational data are encouraging researches on the human-computer conversation. Still, gett…
Self-imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training
Seung Hee Yang, Minhwa Chung
Self-imitating feedback is an effective and learner-friendly method for non-native learners in Computer-Assisted Pronunciation Training. Acoustic characteristics in native utteranc…