论文解读
Do Audio LLMs Listen or Read? Analyzing and Mitigating Paralinguistic Failures with VoxParadox
语音属性识别 | 8/10
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DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation
音视频生成 | 8/10
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Dual-View Predictive Diffusion: Lightweight Speech Enhancement via Spectrogram-Image Synergy
语音增强 | 8.4/10
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E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs
音视频问答 | 6.9/10
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EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs
音视频理解 | 6.3/10
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Efficient Distributed MLLM Training with Cornstarch
音视频理解 | 7/10
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Efficient Multi-modal Dataset Distillation via Analytic Parameter Matching
对比学习 | 7.2/10
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Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion
音乐检索 | 4.7/10
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Evaluating and Rewarding LALMs for Expressive Role-Play TTS via Mean Continuation Log-Probability
语音合成 | 6.6/10
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FakeWorld 1.0: An Omni-modal Benchmark for Fake Media and Content
可解释性 | 6.1/10
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FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors
语音伪造检测 | 6.8/10
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From Inpainting to Editing: Unlocking Robust Mask-Free Visual Dubbing via Generative Bootstrapping
扩散模型 | 7.6/10
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From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection
音视频理解 | 6.9/10
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FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
音视频问答 | 8/10
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Group Cognition Learning: Making Everything Better Through Controlled Two-Stage Agents Collaboration
音视频理解 | 7.3/10
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Hearing Without Noticing? Attention-Aware Stealthy Black-Box Adversarial Audio Attacks
语音识别 | 7.6/10
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Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio
音频水印 | 7/10
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HyperPotter: Spell the Charm of High-Order Interactions in Audio Deepfake Detection
音频伪造检测 | 7.9/10
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INFER: Learning Implicit Neural Frequency Response Fields for Confined Acoustic Environments
空间音频 | 6.4/10
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IVQ: Structured and Lightweight Vector Quantization via Binary Hierarchical Composition Inspired by \(\textit{IChing}\)
音频编码 | 8.2/10