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20202026
most citedEmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech

27 citations · 77 across the 19 of their papers we have counts for

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8 papers · 1 filter

cs.SD2026

ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models

Sang-Hoon Lee, Ha-Yeong Choi

Representation alignment (REPA) has been investigated to accelerate diffusion training, but we observe that regularizing intermediate representations in diffusion Transformers (DiT…

cs.SD2024

Accelerating High-Fidelity Waveform Generation via Adversarial Flow Matching Optimization

Sang-Hoon Lee, Ha-Yeong Choi, Seong-Whan Lee

This paper introduces PeriodWave-Turbo, a high-fidelity and high-efficient waveform generation model via adversarial flow matching optimization. Recently, conditional flow matching…

cs.SD2024

PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation

Sang-Hoon Lee, Ha-Yeong Choi, Seong-Whan Lee

Recently, universal waveform generation tasks have been investigated conditioned on various out-of-distribution scenarios. Although GAN-based methods have shown their strength in f…

cs.SD2024★ 27 cited

EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech

Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim +2

Despite rapid advances in the field of emotional text-to-speech (TTS), recent studies primarily focus on mimicking the average style of a particular emotion. As a result, the abili…

cs.SD2024★ 13 cited

DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging Discrete Representations without Text Alignment

Hyung-Seok Oh, Sang-Hoon Lee, Deok-Hyeon Cho +1

Emotional voice conversion (EVC) involves modifying various acoustic characteristics, such as pitch and spectral envelope, to match a desired emotional state while preserving the s…

cs.SD2023★ 3 cited

HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis

Sang-Hoon Lee, Ha-Yeong Choi, Seung-Bin Kim +1

Large language models (LLM)-based speech synthesis has been widely adopted in zero-shot speech synthesis. However, they require a large-scale data and possess the same limitations…

cs.SD2023★ 22 cited

DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial Training

Hyung-Seok Oh, Sang-Hoon Lee, Seong-Whan Lee

Expressive text-to-speech systems have undergone significant advancements owing to prosody modeling, but conventional methods can still be improved. Traditional approaches have rel…

cs.SD2023

HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer

Sang-Hoon Lee, Ha-Yeong Choi, Hyung-Seok Oh +1

Despite rapid progress in the voice style transfer (VST) field, recent zero-shot VST systems still lack the ability to transfer the voice style of a novel speaker. In this paper, w…