most citedAdversarial Learning of Intermediate Acoustic Feature for End-to-End Lightweight Text-to-Speech

1 citations · 1 across the 4 of their papers we have counts for

collaborators

3 papers

cs.SD2023

Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech

Hyungchan Yoon, Changhwan Kim, Eunwoo Song +2

For personalized speech generation, a neural text-to-speech (TTS) model must be successfully implemented with limited data from a target speaker. To this end, the baseline TTS mode…

cs.SD2023

HappyQuokka System for ICASSP 2023 Auditory EEG Challenge

Zhenyu Piao, Miseul Kim, Hyungchan Yoon +1

This report describes our submission to Task 2 of the Auditory EEG Decoding Challenge at ICASSP 2023 Signal Processing Grand Challenge (SPGC). Task 2 is a regression problem that f…

cs.SD2022★ 1 cited

Adversarial Learning of Intermediate Acoustic Feature for End-to-End Lightweight Text-to-Speech

Hyungchan Yoon, Seyun Um, Changwhan Kim +1

To simplify the generation process, several text-to-speech (TTS) systems implicitly learn intermediate latent representations instead of relying on predefined features (e.g., mel-s…