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eess.AS2025
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…
eess.AS2025
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…
eess.AS2025
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…