论文解读
RASD-SR: A Robust Anomalous Sound Detection Framework with Score Recalibration
异常声音检测 | 8.5/10
鲁棒性
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Reading Between the Waves: Robust Topic Segmentation Using Inter-Sentence Audio Features
音频分类 | 7.0/10
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Reasoning Driven Captions to Assist Noise Robust Speech Emotion Recognition
语音情感识别 | 7.0/10
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Reducing Prompt Sensitivity in LLM-Based Speech Recognition Through Learnable Projection
语音识别 | 7.0/10
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Regularized Inverse Filter Design for Rigid Spherical Microphone Array Processing: Laplace- And Time-Domain Representations
空间音频 | 8.0/10
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RMODGDF: A Robust STFT-Derived Feature for Musical Instrument Recognition
音乐信息检索 | 7.0/10
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Robust and Lightweight F0 Estimation Through Mid-Level Fusion of DSP-Informed Features
基频估计 | 8.0/10
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Robust Deepfake Audio Detection via Multi-Level Intermediate Feature Fusion
音频深度伪造检测 | 7.5/10
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RoCo: Robust Code for Fast and Effective Proactive Defense against Voice Cloning Attack
音频安全 | 7.5/10
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RRPO: Robust Reward Policy Optimization for LLM-Based Emotional TTS
语音合成 | 7.5/10
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Sampling-Rate-Agnostic Speech Super-Resolution Based on Gaussian Process Dynamical Systems with Deep Kernel Learning
语音增强 | 6.5/10
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Snore Sound Classification Based on Physiological Features and Adaptive Loss Function
音频分类 | 6.5/10
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Spectral or Spatial? Leveraging Both for Speaker Extraction in Challenging Data Conditions
语音分离 | 7.0/10
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Spectrogram Event Based Feature Representation for Generalizable Automatic Music Transcription
音乐信息检索 | 7.5/10
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Spiking Attention Network: A Hybrid Neuromorphic Approach to Underwater Acoustic Localization and Zero-Shot Adaptation
声源定位 | 7.0/10
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Staged Diffusion with Hybrid Mixture-of-Experts (MOE) for Multimodal Sentiment Analysis
语音情感识别 | 8.0/10
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StreamMark: A Deep Learning-Based Semi-Fragile Audio Watermarking for Proactive Deepfake Detection
音频深度伪造检测 | 8.0/10
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SURE: Synergistic Uncertainty-Aware Reasoning for Multimodal Emotion Recognition in Conversations
语音情感识别 | 7.5/10
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Target-Speaker LLM-ASR with Speaker-Aware Speech Encoder
语音识别 | 8.8/10
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Toward Robust And Efficient Beat Tracking Via Beat-Aware Attention
音乐理解 | 8.5/10