activity
20212025
most citedMake-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models

47 citations · 290 across the 53 of their papers we have counts for

collaborators

53 papers

cs.SD2025

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources

Xize Cheng, Slytherin Wang, Zehan Wang +3

Universal sound separation aims to extract clean audio tracks corresponding to distinct events from mixed audio, which is critical for artificial auditory perception. However, curr…

eess.AS2025★ 2 cited

Versatile Framework for Song Generation with Prompt-based Control

Yu Zhang, Wenxiang Guo, Changhao Pan +8

Song generation focuses on producing controllable high-quality songs based on various prompts. However, existing methods struggle to generate vocals and accompaniments with prompt-…

eess.AS2025

OmniAudio: Generating Spatial Audio from 360-Degree Video

Huadai Liu, Tianyi Luo, Kaicheng Luo +11

Traditional video-to-audio generation techniques primarily focus on perspective video and non-spatial audio, often missing the spatial cues necessary for accurately representing so…

cs.SD2025

TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching

Wenxiang Guo, Yu Zhang, Changhao Pan +6

Singing voice synthesis has made remarkable progress in generating natural and high-quality voices. However, existing methods rarely provide precise control over vocal techniques s…

cs.CL2025

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios

Xize Cheng, Dongjie Fu, Xiaoda Yang +11

With the rapid development of large language models, researchers have created increasingly advanced spoken dialogue systems that can naturally converse with humans. However, these…

cs.SD2024

MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence

Fuming You, Minghui Fang, Li Tang +3

Motion-to-music and music-to-motion have been studied separately, each attracting substantial research interest within their respective domains. The interaction between human motio…

cs.SD2024

OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup

Xize Cheng, Siqi Zheng, Zehan Wang +8

The scaling up has brought tremendous success in the fields of vision and language in recent years. When it comes to audio, however, researchers encounter a major challenge in scal…

cs.CV2024★ 1 cited

MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes

Zhenhui Ye, Tianyun Zhong, Yi Ren +10

Talking face generation (TFG) aims to animate a target identity's face to create realistic talking videos. Personalized TFG is a variant that emphasizes the perceptual identity sim…

eess.AS2024

FlashAudio: Rectified Flows for Fast and High-Fidelity Text-to-Audio Generation

Huadai Liu, Jialei Wang, Rongjie Huang +4

Recent advancements in latent diffusion models (LDMs) have markedly enhanced text-to-audio generation, yet their iterative sampling processes impose substantial computational deman…

eess.AS2024★ 6 cited

TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control

Yu Zhang, Ziyue Jiang, Ruiqi Li +5

Zero-shot singing voice synthesis (SVS) with style transfer and style control aims to generate high-quality singing voices with unseen timbres and styles (including singing method,…

cs.LG2024★ 1 cited

Integrating Audio, Visual, and Semantic Information for Enhanced Multimodal Speaker Diarization

Luyao Cheng, Hui Wang, Siqi Zheng +5

Speaker diarization, the process of segmenting an audio stream or transcribed speech content into homogenous partitions based on speaker identity, plays a crucial role in the inter…

eess.AS2024

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

Shengpeng Ji, Ziyue Jiang, Wen Wang +14

Language models have been effectively applied to modeling natural signals, such as images, video, speech, and audio. A crucial component of these models is the codec tokenizer, whi…

eess.AS2024★ 1 cited

AudioLCM: Text-to-Audio Generation with Latent Consistency Models

Huadai Liu, Rongjie Huang, Yang Liu +5

Recent advancements in Latent Diffusion Models (LDMs) have propelled them to the forefront of various generative tasks. However, their iterative sampling process poses a significan…

eess.AS2024

Accompanied Singing Voice Synthesis with Fully Text-controlled Melody

Ruiqi Li, Zhiqing Hong, Yongqi Wang +4

Text-to-song (TTSong) is a music generation task that synthesizes accompanied singing voices. Current TTSong methods, inherited from singing voice synthesis (SVS), require melody-r…

eess.AS2024

MEDIC: Zero-shot Music Editing with Disentangled Inversion Control

Huadai Liu, Jialei Wang, Xiangtai Li +6

Text-guided diffusion models revolutionize audio generation by adapting source audio to specific text prompts. However, existing zero-shot audio editing methods such as DDIM invers…

eess.AS2024

Self-Supervised Singing Voice Pre-Training towards Speech-to-Singing Conversion

Ruiqi Li, Rongjie Huang, Yongqi Wang +2

Speech-to-singing voice conversion (STS) task always suffers from data scarcity, because it requires paired speech and singing data. Compounding this issue are the challenges of co…

eess.AS2024

Robust Singing Voice Transcription Serves Synthesis

Ruiqi Li, Yu Zhang, Yongqi Wang +3

Note-level Automatic Singing Voice Transcription (AST) converts singing recordings into note sequences, facilitating the automatic annotation of singing datasets for Singing Voice…

cs.SD2024

Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching

Yongqi Wang, Wenxiang Guo, Rongjie Huang +5

Video-to-audio (V2A) generation aims to synthesize content-matching audio from silent video, and it remains challenging to build V2A models with high generation quality, efficiency…

eess.AS2024

Text-to-Song: Towards Controllable Music Generation Incorporating Vocals and Accompaniment

Zhiqing Hong, Rongjie Huang, Xize Cheng +5

A song is a combination of singing voice and accompaniment. However, existing works focus on singing voice synthesis and music generation independently. Little attention was paid t…

eess.AS2024★ 1 cited

3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization

Yafeng Chen, Siqi Zheng, Hui Wang +8

We introduce 3D-Speaker-Toolkit, an open-source toolkit for multimodal speaker verification and diarization, designed for meeting the needs of academic researchers and industrial p…

cs.SD2024

Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt

Yongqi Wang, Ruofan Hu, Rongjie Huang +6

Recent singing-voice-synthesis (SVS) methods have achieved remarkable audio quality and naturalness, yet they lack the capability to control the style attributes of the synthesized…

cs.CV2024★ 2 cited

Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis

Zhenhui Ye, Tianyun Zhong, Yi Ren +11

One-shot 3D talking portrait generation aims to reconstruct a 3D avatar from an unseen image, and then animate it with a reference video or audio to generate a talking portrait vid…

cs.SD2023

TransFace: Unit-Based Audio-Visual Speech Synthesizer for Talking Head Translation

Xize Cheng, Rongjie Huang, Linjun Li +7

Direct speech-to-speech translation achieves high-quality results through the introduction of discrete units obtained from self-supervised learning. This approach circumvents delay…

eess.AS2023★ 18 cited

StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis

Yu Zhang, Rongjie Huang, Ruiqi Li +6

Style transfer for out-of-domain (OOD) singing voice synthesis (SVS) focuses on generating high-quality singing voices with unseen styles (such as timbre, emotion, pronunciation, a…