9 citations · 15 across the 19 of their papers we have counts for
19 papers
One-Stage Multi-Task Instruction-Guided 3D Spatial Audio Editing
Ke Lei, Chenyuhao Wen, Yu Zhang +9
Spatial audio editing modifies an existing soundfield according to a user's instruction while preserving the rest of the scene. Unlike conventional audio editing, it must reason jo…
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…
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…
Qwen-Music Technical Report
Jin Xu, Kangdi Wang, Ruibin Yuan +24
We introduce Qwen-Music, a music generation model that produces high-fidelity songs with complete vocals. It supports text-to-music generation from descriptions, lyrics, and musica…
Qwen-Audio-VAE Technical Report
Ziyue Jiang, Dake Guo, Zekai Zhang +11
We introduce \textbf{Qwen-Audio-VAE}, a suite of low-bitrate, fast-encoding continuous audio autoencoders designed for scalable general audio generation. The model is built around…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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-…
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…
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…
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…