Search Results for author: Hyunjae Cho

Found 4 papers, 2 papers with code

PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS

2 code implementations24 Feb 2023 Junhyeok Lee, Wonbin Jung, Hyunjae Cho, Jaeyeon Kim, Jaehwan Kim

Previous pitch-controllable text-to-speech (TTS) models rely on directly modeling fundamental frequency, leading to low variance in synthesized speech.

Variational Inference

PhaseAug: A Differentiable Augmentation for Speech Synthesis to Simulate One-to-Many Mapping

2 code implementations8 Nov 2022 Junhyeok Lee, Seungu Han, Hyunjae Cho, Wonbin Jung

Previous generative adversarial network (GAN)-based neural vocoders are trained to reconstruct the exact ground truth waveform from the paired mel-spectrogram and do not consider the one-to-many relationship of speech synthesis.

Generative Adversarial Network Speech Synthesis

SANE-TTS: Stable And Natural End-to-End Multilingual Text-to-Speech

no code implementations24 Jun 2022 Hyunjae Cho, Wonbin Jung, Junhyeok Lee, Sang Hoon Woo

By the difficulty of obtaining multilingual corpus for given speaker, training multilingual TTS model with monolingual corpora is unavoidable.

Talking Face Generation with Multilingual TTS

no code implementations CVPR 2022 Hyoung-Kyu Song, Sang Hoon Woo, Junhyeok Lee, Seungmin Yang, Hyunjae Cho, Youseong Lee, Dongho Choi, Kang-wook Kim

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 text input.

Talking Face Generation Translation

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