14 citations · 16 across the 13 of their papers we have counts for
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eess.AS2024★ 1 cited
EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer
Jiarui Hai, Yong Xu, Hao Zhang +4
We introduce EzAudio, a text-to-audio (T2A) generation framework designed to produce high-quality, natural-sounding sound effects. Core designs include: (1) We propose EzAudio-DiT,…
eess.AS2024
SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion Transformer
Helin Wang, Jiarui Hai, Yen-Ju Lu +3
In this paper, we introduce SoloAudio, a novel diffusion-based generative model for target sound extraction (TSE). Our approach trains latent diffusion models on audio, replacing t…
eess.AS2024
DreamVoice: Text-Guided Voice Conversion
Jiarui Hai, Karan Thakkar, Helin Wang +2
Generative voice technologies are rapidly evolving, offering opportunities for more personalized and inclusive experiences. Traditional one-shot voice conversion (VC) requires a ta…