Search Results for author: Jaehwan Kim

Found 2 papers, 1 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

High-Frequency Preserving Image Downscaler

no code implementations IEEE International Conference on Image Processing (ICIP) 2021 Jaehwan Kim, Soo Min Kang, Kwang Pyo Choi, Youngo Park, Chaeeun Lee, JongSeok Lee

In this paper, an unsupervised image downscaler that preserves the high frequency content of the original image based on an autoencoder is presented.

Vocal Bursts Intensity Prediction

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