collaborators

11 papers

cs.SD2026

Towards Unified Song Generation and Singing Voice Conversion with Accompaniment Co-Generation

Ziyu Zhang, Chunyu Qiang, Xiaopeng Wang +10

While song generation and singing voice conversion (SVC) have evolved significantly, they have long been developed isolated: the former lacks zero-shot speaker cloning, while the l…

eess.AS2026

Beyond Semantic Dominance: Cognitive Affective Reasoning and Empathetic Response Alignment in Audio Language Models

Zhixian Zhao, Shuiyuan Wang, Wenjie Tian +3

While Audio Language Models (ALMs) demonstrate strong semantic understanding, they struggle with complex affective interactions. Specifically, textual semantic dominance often over…

eess.AS2026

UrduSpeech: A 156-Hour Urdu Speech Corpus with 12-Dimension Paralinguistic Annotations

Attia Nafees ul Haq, Zeyu Zhu, Jingbin Hu +2

Despite 230 million speakers, Urdu remains critically under-resourced in speech technology. We introduce UrduSpeech: a large high-fidelity Urdu corpus comprising 156 hours of audio…

eess.AS2026

S2Accompanist: A Semantic-Aware and Structure-Guided Diffusion Model for Music Accompaniment Generation

Huakang Chen, Wenkai Cheng, Guobin Ma +7

High-fidelity text-to-music generation typically relies on massive proprietary datasets and immense computational resources. Existing models often struggle to generate coherent pur…

eess.AS2026

Towards Fine-Grained Multi-Dimensional Speech Understanding: Data Pipeline, Benchmark, and Model

Guojian Li, Zhixian Zhao, Zhennan Lin +9

While speech Large Language Models (LLMs) excel at conventional tasks like basic speech recognition, they lack fine-grained, multi-dimensional perception. This deficiency is eviden…

cs.SD2026

OSUM-Pangu: An Open-Source Multidimension Speech Understanding Foundation Model Built upon OpenPangu on Ascend NPUs

Yujie Liao, Xuelong Geng, Hongfei Xue +2

Recent advancements in Speech Large Language Models have significantly enhanced multi-dimensional speech understanding. However, the majority of high-performance frameworks are pre…