Direction-of-arrival (DOA) estimation is a fundamental problem in microphone array signal processing. In three-dimensional DOA estimation, both the array geometry and the number of sensors influence the estimation accuracy and computational cost. While increasing the number of microphones generally improves performance...
Kun-Long Zhao, Ji-Lu Jin, Xue-Qin Luo et al.· IEEE Transactions on Audio,...· 0 citations
Cinematic audio source separation (CASS) decomposes a soundtrack into dialogue, music, and sound-effects (SFX) stems. Existing CASS methods, however, suffer from two critical limitations: they rely on heavily parameterized network architectures and GPU-class hardware, limiting their use in real-time and resource-constr...
Yuan-Xin Guo, Qiang Ji, Meng Liu et al.· 0 citations
RAIL is introduced, a human-centric benchmark grounded in the Cattell--Horn--Carroll (CHC) framework, which formalises auditory cognition into five core capabilities, and develops them into structured evaluation tasks with principled data curation and human-aligned evaluation protocols.
Hong-Yu Jin, Siyi Wang, Yang Xiao et al.· arXiv.org· 3 citations
This work introduces DuplexAct, a benchmark for evaluating interaction action taking in E2E FD-SLMs and defines a three-level action taxonomy spanning eight interaction actions and 24 corresponding interaction conditions, and develops action-specific evaluation metrics for both.
Jia-Heng Dong, Shi-Hong Tan, Gong-Ping Huang et al.· 0 citations
Diffusion- and flow-based generative models have achieved strong performance in speech enhancement, but they typically rely on an explicit time variable to specify the generation stage. Since the noisy speech condition provides a strong reference to the underlying clean speech, enhancement progress could be reflected b...
Hao Liang, Wei Liu, Gong-Ping Huang et al.· IEEE Signal Processing Lette...· 0 citations
Audio anti-spoofing systems increasingly combine self-supervised learning, parameter-efficient fine-tuning, and graph-attention-based backends. However, performance gains in such systems are often entangled with concurrent changes in the backbone, fine-tuning strategy, and training protocol, making the independent cont...
Hao-Yu Wang, Jing Yang, Chen-Yu Liu et al.· 0 citations
Experiments show that ER-EDF consistently improves empathetic response quality in both automatic and human evaluations, highlighting the importance of jointly modeling emotion perception and regulation in spoken empathetic dialogue systems, paving a new direction for psychologically grounded empathetic AI.
Hong-Yu Jin, Wen-Da Zhang, Run-Qiu Fei et al.· 0 citations
An evidence-grounded generative SE framework that uses a deterministic estimate as imperfect evidence as imperfect evidence is proposed and SNR-Conditioned CSG (SNR-CSG), which maps a calibrated residual-SNR estimate to an utterance-level strength and constructs an adaptive grounded anchor is introduced.
Hao Shi, Yuan Gao, Zhao-Heng Ni et al.· 0 citations
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