Search Results for author: Young-Sun Joo

Found 5 papers, 1 papers with code

Avocodo: Generative Adversarial Network for Artifact-free Vocoder

2 code implementations27 Jun 2022 Taejun Bak, Junmo Lee, Hanbin Bae, Jinhyeok Yang, Jae-Sung Bae, Young-Sun Joo

Therefore, in this paper, we investigate the relationship between these artifacts and GAN-based vocoders and propose a GAN-based vocoder, called Avocodo, that allows the synthesis of high-fidelity speech with reduced artifacts.

Enhancement of Pitch Controllability using Timbre-Preserving Pitch Augmentation in FastPitch

no code implementations12 Apr 2022 Hanbin Bae, Young-Sun Joo

To address this issue, we propose two algorithms to improve the robustness of FastPitch.

Hierarchical and Multi-Scale Variational Autoencoder for Diverse and Natural Non-Autoregressive Text-to-Speech

no code implementations8 Apr 2022 Jae-Sung Bae, Jinhyeok Yang, Tae-Jun Bak, Young-Sun Joo

This paper proposes a hierarchical and multi-scale variational autoencoder-based non-autoregressive text-to-speech model (HiMuV-TTS) to generate natural speech with diverse speaking styles.

Hierarchical Context-Aware Transformers for Non-Autoregressive Text to Speech

no code implementations29 Jun 2021 Jae-Sung Bae, Tae-Jun Bak, Young-Sun Joo, Hoon-Young Cho

Therefore, to improve the modeling performance of the TNA-TTS model we propose a hierarchical Transformer structure-based text encoder and audio decoder that are designed to accommodate the characteristics of each module.

A Neural Text-to-Speech Model Utilizing Broadcast Data Mixed with Background Music

no code implementations4 Mar 2021 Hanbin Bae, Jae-Sung Bae, Young-Sun Joo, Young-Ik Kim, Hoon-Young Cho

Second, the GST-TTS model with an auxiliary quality classifier is trained with the filtered speech and a small amount of clean speech.

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