3 citations · 3 across the 9 of their papers we have counts for
17 papers
High-Fidelity Generative Audio Compression at 0.275kbps
Hao Ma, Ruihao Jing, Shansong Liu +4
High-fidelity general audio compression at ultra-low bitrates is crucial for applications ranging from low-bandwidth communication to generative audio-language modeling. Traditiona…
Rare Word Recognition and Translation Without Fine-Tuning via Task Vector in Speech Models
Ruihao Jing, Cheng Gong, Yu Jiang +5
Rare words remain a critical bottleneck for speech-to-text systems. While direct fine-tuning improves recognition of target words, it often incurs high cost, catastrophic forgettin…
Towards Multimodal Query-Based Spatial Audio Source Extraction
Chenxin Yu, Hao Ma, Xu Li +4
Query-based audio source extraction seeks to recover a target source from a mixture conditioned on a query. Existing approaches are largely confined to single-channel audio, leavin…
Towards Reliable LLM-based Robot Planning via Combined Uncertainty Estimation
Shiyuan Yin, Chenjia Bai, Zihao Zhang +4
Large language models (LLMs) demonstrate advanced reasoning abilities, enabling robots to understand natural language instructions and generate high-level plans with appropriate gr…
FoleySpace: Vision-Aligned Binaural Spatial Audio Generation
Lei Zhao, Rujin Chen, Chi Zhang +2
Recently, with the advancement of AIGC, deep learning-based video-to-audio (V2A) technology has garnered significant attention. However, existing research mostly focuses on mono au…
: A Multimodal, Multi-Label, Multilingual Prompt Database for Speech Generation
Boyu Zhu, Cheng Gong, Muyang Wu +5
Recent advancements in zero-shot speech generation have enabled models to synthesize speech that mimics speaker identity and speaking style from speech prompts. However, these mode…