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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

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14 papers · 1 filter

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…