collaborators

11 papers

cs.SD2026

PhysicsSliders: Learning Physical Controls for Audio Foley Generation

Peiwei Chang, Yongqiang Chen, Yuelan Cheng +6

Physical properties provide intuitive controls for sounds made by interacting objects. The challenge is to make a generative model respond predictably to these controls, both indiv…

eess.AS2026

Visually-Guided Spatial Audio Generation for In-the-Wild Speech Scenes

Qingyu Luo, Peng Zhang, Wenwu Wang +1

Spatial audio is a key component of immersive media, yet high-quality spatial capture remains limited in real-world speech-dominant scenes. We study visually guided Fir…

cs.SD2026

RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers

Liting Gao, Yonggang Zhu, Yaru Chen +5

Audio editing aims to modify specific content in an existing audio clip according to a text instruction or description while preserving the remaining acoustic content. Despite the…

cs.SD2026

Grammar-Guided Hierarchical Parsing for Long-form Audio Activity Recognition

Peng Zhang, Qingyu Luo, Philip J. B. Jackson +1

Long-form audio exhibits an inherent hierarchy: fine-grained events form sub-activities, which in turn constitute higher-level activities. Prior work often models these levels sepa…

cs.SD2026

COMET: Concept Space Dissection of the Modality Gap in Audio-Text Multimodal Contrastive Embeddings

Yonggang Zhu, Liting Gao, Aidong Men +1

Contrastive Language-Audio Pretraining (CLAP) models are widely used for audio understanding and support modality-agnostic condition swapping in many zero-shot applications. Howeve…

cs.CV2026

TeMuDance: Contrastive Alignment-Based Textual Control for Music-Driven Dance Generation

Xinran Liu, Diptesh Kanojia, Wenwu Wang +1

Existing music-driven dance generation approaches have achieved strong realism and effective audio-motion alignment. However, they generally lack semantic controllability, making i…

cs.CV2026

FoleyDesigner: Immersive Stereo Foley Generation with Precise Spatio-Temporal Alignment for Film Clips

Mengtian Li, Kunyan Dai, Yi Ding +4

Foley art plays a pivotal role in enhancing immersive auditory experiences in film, yet manual creation of spatio-temporally aligned audio remains labor-intensive. We propose Foley…

cs.SD2026

The Interspeech 2026 Audio Encoder Capability Challenge for Large Audio Language Models

Heinrich Dinkel, Jiahao Zhou, Guanbo Wang +8

This paper presents the Interspeech 2026 Audio Encoder Capability Challenge, a benchmark specifically designed to evaluate and advance the performance of pre-trained audio encoders…

cs.CV2025

TEn-CATG:Text-Enriched Audio-Visual Video Parsing with Multi-Scale Category-Aware Temporal Graph

Yaru Chen, Faegheh Sardari, Peiliang Zhang +4

Audio-visual video parsing (AVVP) aims to detect event categories and their temporal boundaries in videos, typically under weak supervision. Existing methods mainly focus on (i) im…

cs.CV2025

Teacher-Guided Pseudo Supervision and Cross-Modal Alignment for Audio-Visual Video Parsing

Yaru Chen, Ruohao Guo, Liting Gao +4

Weakly-supervised audio-visual video parsing (AVVP) seeks to detect audible, visible, and audio-visual events without temporal annotations. Previous work has emphasized refining gl…

cs.SD2025

RFM-Editing: Rectified Flow Matching for Text-guided Audio Editing

Liting Gao, Yi Yuan, Yaru Chen +5

Diffusion models have shown remarkable progress in text-to-audio generation. However, text-guided audio editing remains in its early stages. This task focuses on modifying the targ…