论文解读
Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation
语音识别 | 9.3/10
鲁棒性
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- 对抗鲁棒性 直接 58 篇 · 含子树 58 篇
论文解读
Cross-Talk Speech Reduction, by Separation, for Separation
语音分离 | 8.3/10
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EMO-BOOST: Emotion-Augmented Audio-Visual Features for Improved Generalization in Deepfake Detection
音频深度伪造检测 | 7.2/10
论文解读
Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation
语音识别 | 6.8/10
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When Vision Speaks for Sound
音视频 | 7.7/10
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A Fast Robust Adaptive filter using Improved Data-Reuse Method
声学回声消除 | 6.2/10
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Can Large Audio Language Models Ignore Multilingual Distractors? An Evaluation of Their Selective Auditory Attention Capabilities
音频问答 | 6.5/10
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Fractional-Order Subband p-Norm Adaptive Filter via Transformation Nearest Kronecker Product Decomposition for Active Noise Control
自适应滤波 | 5/10
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Robust Soft-Constrained Spatially Selective Active Noise Control for Hearables Under Secondary Path Variations
音频增强 | 5.7/10
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Adaptive Diagonal Loading using Krylov Subspaces for Robust Beamforming
声源定位 | 7.5/10
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Latent Secret Spin: Keyed Orthogonal Rotations for Blind Speech Watermarking in Anisotropic Latent Spaces
音频水印 | 5.5/10
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Mitigating Multimodal Inconsistency via Cognitive Dual-Pathway Reasoning for Intent Recognition
意图识别 | 7.0/10
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RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations
音频深度伪造检测 | 6.0/10
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Adaptive Regularization for Sparsity Control in Bregman-Based Optimizers
Adaptive Regularization for Sparsity Control in Bregman-Based Optimizers
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Asymmetric Phase Coding Audio Watermarking
Asymmetric Phase Coding Audio Watermarking
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Adaptive Diagonal Loading for Norm Constrained Beamforming
波束成形 | 7.0/10
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SEI-SHIELD: Robust Specific Emitter Identification Under Label Noise Via Self-Supervised Filtering and Iterative Rescue
信号处理 | 7.5/10
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Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity
标签分布学习 | 8.0/10
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Assessing the Impact of Noise and Speech Enhancement on the Intelligibility of Speech Codecs
模型评估 | 7.0/10
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Contrastive Regularization for Accent-Robust ASR
语音识别 | 7.5/10