论文解读
BackgroundMellow: A Multi-Modal Cohesive Framework for Narrative-Driven Rich Cinematic Soundscape Generation
音频生成 | 7.4/10
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BeatEdit: Symbolic Music Generation as Explicit Editing
音乐生成 | 8.9/10
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Breaking the Quality--Intelligibility Trade-off in Streaming Target Speaker Extraction via Deep-Feature-Anchored Preference Optimization
语音分离 | 6.3/10
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Casting Everything to Online API Services? A Survey of Integrating Localized Speech Recognition Models in Robotic Systems
语音识别 | 5.4/10
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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection
提示学习 | 8.8/10
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CoFi-Lite: Pushing the Limits of Ultra-Lightweight Speech Enhancement
语音增强 | 7.3/10
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Dance to Music Generation leveraging Pre-training with Unpaired data and Contrastive Alignment
音乐生成 | 7.5/10
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Data Augmentation for L2 English Speaking Assessment using TTS
语音质量评估 | 7.0/10
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Difference-Driven Gating: Adaptive Feature Fusion for U-Net Decoder
语音分离 | 7.4/10
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ECHOv2: Two-Level Band-Splitting Representation Learning for Anomalous Sound Detection
音频事件检测 | 8.2/10
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Efficiently Adapting Spoken Language Models for the Singaporean Context
语音交互 | 6.5/10
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Encoder-Side Neuron Identification and Amplification for Acoustic Perception in Large Audio-Language Models
音频理解 | 6.4/10
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Evaluating SSL and ViViT Architectures for Cross-Corpus Audio MOS Prediction via LODO Validation
语音质量评估 | 8.3/10
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Evidence Subspace Projection: Measuring How Much Evidence Explains Deepfake Detection in Self-Supervised Speech Models
语音伪造检测 | 8.1/10
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FdAudio: MeanFlow-Anchored Fréchet-Distance Post-Training for One-Step Text-to-Audio Generation
音频生成 | 8.6/10
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GigaAM Multilingual: Foundation Model for Underrepresented Languages
语音识别 | 8.1/10
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GigaChat Audio: Time-aware Large Audio Language Model
音频理解 | 7.4/10
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Graph Representation of RaagBase: A Unique Dataset for Hindustani Music
音乐理解 | 5.7/10
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Hearing Like Humans? Sound Symbolism and Perceptual Alignment in Speech Language Models
多模态模型 | 6.1/10
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Learn2Chat: Rethinking Dyadic Talking Heads via Interaction-Modulated Monologic Priors
音视频生成 | 6.8/10