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20242026
most citedSteering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of Thought

2 citations · 2 across the 12 of their papers we have counts for

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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…

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…

cs.SD2026

Seeing the Context: Rich Visual Context-Aware Speech Recognition via Multimodal Reasoning

Wenjie Tian, Mingchen Shao, Bingshen Mu +8

Audio-visual speech recognition (AVSR) is an extension of ASR that incorporates visual signals. Current AVSR approaches primarily focus on lip motion, largely overlooking rich cont…

cs.SD2026

EmoOmni: Bridging Emotional Understanding and Expression in Omni-Modal LLMs

Wenjie Tian, Zhixian Zhao, Jingbin Hu +4

The evolution of Omni-Modal Large Language Models~(Omni-LLMs) has revolutionized human--computer interaction, enabling unified audio-visual perception and speech response. However,…

cs.SD2025

Serial-Parallel Dual-Path Architecture for Speaking Style Recognition

Guojian Li, Qijie Shao, Zhixian Zhao +3

Speaking Style Recognition (SSR) identifies a speaker's speaking style characteristics from speech. Existing style recognition approaches primarily rely on linguistic information,…

cs.SD2025★ 2 cited

Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of Thought

Zhixian Zhao, Xinfa Zhu, Xinsheng Wang +4

Large-scale audio language models (ALMs), such as Qwen2-Audio, are capable of comprehending diverse audio signal, performing audio analysis and generating textual responses. Howeve…