5 papers · 1 filter
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…
Bridging the Gap between Continuous and Informative Discrete Representations by Random Product Quantization
Xueqing Li, Hao Ma, Zehan Li +8
Self-supervised learning (SSL) has become a core technique in speech processing, but the high dimensionality of its representations makes discretization essential for improving eff…
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…
: 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…