activity
20242026
most citedGTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks

9 citations · 21 across the 22 of their papers we have counts for

collaborators

24 papers

eess.AS2026

CSAVocoder: A Causal Spatial Audio Vocoder Towards Real-Time Spatial Audio Generation

Zhiyuan Zhu, Han Wang, Wenxiang Guo +4

Spatial audio vocoders are able to convert mel-spectrograms produced by generative models into spatial audio waveforms. Most neural vocoders are designed for monaural audio, and di…

cs.SD2026

VoxAudio: Vocalized Audio Synthesis via Multi-Reward Autoregressive Flow Matching

Wenxiang Guo, Changhao Pan, Ziyue Jiang +2

Vocalized audio synthesis, the task of generating audio in which intelligible speech is embedded within an environmental soundscape, underpins applications such as podcast producti…

eess.AS2026

SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks

Yu Zhang, Ruiqi Li, Changhao Pan +3

Speech and audio generation is often needed in animation dubbing, audio drama, movies, advertising, games, podcasts, and short-video production. In these scenarios, creators may ne…

eess.AS2026

Audio Editing in the Era of Foundation Models: A Survey

Changhao Pan, Yifei Fan, Fan Zhuo +13

Audio editing aims to modify a given synthetic or real-world audio signal to satisfy specific user needs. As a promising yet challenging direction in AIGC, it has attracted increas…

eess.AS2026

A Survey of Full-Duplex Spoken Dialogue Systems: Architectural Hierarchy, Interaction Ontology, and Decision State Machine

Jingyu Lu, Yuhan Wang, Jianming Luo +15

More than a dozen spoken dialogue systems have recently claimed to be "full-duplex," yet the term has been used to describe substantially different capabilities. Existing surveys c…

eess.AS2026

Spatial-Omni: Spatial Audio Understanding Integration in Multimodal LLMs via FOA Encoding

Zhiyuan Zhu, Yixuan Chen, Yiwen Shao +13

Recent multimodal large language models mainly process audio as monaural signals, thereby discarding the spatial cues contained in spatial audio for sound localization, spatial rel…

eess.AS2026

SwanVoice: Expressive Long-Form Zero-Shot Speech Synthesis for Both Monologue and Dialogue

Ruiqi Li, Yu Zhang, Changhao Pan +3

Zero-shot text-to-speech (TTS) has improved substantially for single-speaker synthesis, yet expressive long-form multi-speaker dialogue remains difficult. A common workaround is to…

eess.AS2026

Towards Streaming Synchronized Spatial Audio Generation via Autoregressive Diffusion Transformer

Ke Lei, Yu Zhang, Changhao Pan +4

Real-time and accurate spatial audio generation is pivotal for delivering an immersive experience. However, existing spatial audio synthesis technologies are often encumbered by a…

eess.AS2026

Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios

Changhao Pan, Rui Yang, Han Wang +12

Recent advances in speech generation have enabled high-fidelity synthesis, yet systematic evaluation of models under long-context conditions remains largely underexplored. A compre…

cs.SD2026

TMD-Bench: A Multi-Level Evaluation Paradigm for Music-Dance Co-Generation

Xiaoda Yang, Majun Zhang, Changhao Pan +10

Unified audio-visual generation is rapidly gaining industrial and creative relevance, enabling applications in virtual production and interactive media. However, when moving from g…

cs.CV2026

Diffusion Model as a Generalist Segmentation Learner

Haoxiao Wang, Antao Xiang, Haiyang Sun +8

Diffusion models are primarily trained for image synthesis, yet their denoising trajectories encode rich, spatially aligned visual priors. In this paper, we demonstrate that these…

cs.CV2026

ImVideoEdit: Image-learning Video Editing via 2D Spatial Difference Attention Blocks

Jiayang Xu, Fan Zhuo, Majun Zhang +6

Current video editing models often rely on expensive paired video data, which limits their practical scalability. In essence, most video editing tasks can be formulated as a decoup…

eess.AS2026

SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness

Jingyu Lu, Yuhan Wang, Fan Zhuo +7

The rapid evolution of end-to-end spoken dialogue systems demands transcending mere textual semantics to incorporate paralinguistic nuances and the spontaneous nature of human conv…

eess.AS2026

Synthetic Singers: A Review of Deep-Learning-based Singing Voice Synthesis Approaches

Changhao Pan, Dongyu Yao, Yu Zhang +4

Recent advances in singing voice synthesis (SVS) have attracted substantial attention from both academia and industry. With the advent of large language models and novel generative…

cs.SD2025

MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations

Wenxiang Guo, Changhao Pan, Zhiyuan Zhu +16

Humans rely on multisensory integration to perceive spatial environments, where auditory cues enable sound source localization in three-dimensional space. Despite the critical role…

eess.AS2025★ 1 cited

ASAudio: A Survey of Advanced Spatial Audio Research

Zhiyuan Zhu, Yu Zhang, Wenxiang Guo +2

With the rapid development of spatial audio technologies today, applications in AR, VR, and other scenarios have garnered extensive attention. Unlike traditional mono sound, spatia…

cs.SD2025

STARS: A Unified Framework for Singing Transcription, Alignment, and Refined Style Annotation

Wenxiang Guo, Yu Zhang, Changhao Pan +6

Recent breakthroughs in singing voice synthesis (SVS) have heightened the demand for high-quality annotated datasets, yet manual annotation remains prohibitively labor-intensive an…

cs.SD2025

Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis

Xintong Hu, Yixuan Chen, Rui Yang +2

Automatic speech quality assessment plays a crucial role in the development of speech synthesis systems, but existing models exhibit significant performance variations across diffe…

eess.AS2025★ 2 cited

TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis

Yu Zhang, Wenxiang Guo, Changhao Pan +6

Customizable multilingual zero-shot singing voice synthesis (SVS) has various potential applications in music composition and short video dubbing. However, existing SVS models over…

eess.AS2025★ 1 cited

ISDrama: Immersive Spatial Drama Generation through Multimodal Prompting

Yu Zhang, Wenxiang Guo, Changhao Pan +3

Multimodal immersive spatial drama generation focuses on creating continuous multi-speaker binaural speech with dramatic prosody based on multimodal prompts, with potential applica…

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-…

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…

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,…

eess.AS2024★ 9 cited

GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks

Yu Zhang, Changhao Pan, Wenxiang Guo +15

The scarcity of high-quality and multi-task singing datasets significantly hinders the development of diverse controllable and personalized singing tasks, as existing singing datas…