8 papers · 1 filter
Positive-Incentive Noise Predictor for Adversarial Purification in Speaker Verification
Yibo Bai, Sizhou Chen, Michele Panariello +5
Modern automatic speaker verification (ASV) systems are vulnerable to adversarial perturbations. Diffusion-based purification has recently shown strong effectiveness against such p…
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…
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…
AudioSpa: Spatializing Sound Events with Text
Linfeng Feng, Lei Zhao, Boyu Zhu +2
Text-to-audio (TTA) systems have recently demonstrated strong performance in synthesizing monaural audio from text. However, the task of generating binaural spatial audio from text…
Enhancing Intelligibility for Generative Target Speech Extraction via Joint Optimization with Target Speaker ASR
Hao Ma, Rujin Chen, Xiao-Lei Zhang +2
Target speech extraction (TSE) isolates the speech of a specific speaker from a multi-talker overlapped speech mixture. Most existing TSE models rely on discriminative methods, typ…
Eliminating Quantization Errors in Classification-Based Sound Source Localization
Linfeng Feng, Xiao-Lei Zhang, Xuelong Li
Sound Source Localization (SSL) involves estimating the Direction of Arrival (DOA) of sound sources. Since the DOA estimation output space is continuous, regression might be more s…