论文解读
A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features
音频质量评估 | 8.0/10
音频质量评估
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Towards a reproducible cross-venue method for quantifying crowd noise in stadiums
音频质量评估 | 5.4/10
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HARP: Harmonic-Aware Residual Partitioning for Neural Audio Codecs
音频编码 | 9.6/10
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What does the model actually see? Evaluation protocols and input availability in data-driven prediction of room acoustic parameters
音频质量评估 | 7.2/10
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Perceived Annoyance in Multi-source Electric Vehicle AVAS Environments
音频质量评估 | 3.5/10
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Beyond Time Shifts: Adapting Omni-LLM as a Reference-Free Evaluator for Generative Audio-Visual Models
音视频理解 | 6.0/10
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Statistical validation and full-sphere extension of a Bayesian model for human static sound localisation
音频质量评估 | 6.7/10
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Quality Adaptive Angular Margin Learning for Respiratory Sound Classification
音频质量评估 | 9.5/10
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Audio-Oscar: A Multi-Agent System for Complex Audio Scene Generation, Orchestration, and Refinement
音频生成 | 9.9/10
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FSC-Net: Integrating Fast Fourier Convolutions and Progressive Learning for Speech Bandwidth Extension
音频质量评估 | 6.4/10
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Masked Wavelet Scattering Transform Neural Field for Sound Field Reconstruction
音频质量评估 | 6.7/10
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3DAE: Binaural Quality Assessment for Audio Novel View Synthesis with Spatial Maps and Benchmark
音频质量评估 | 6.5/10
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Sound effects in media:A comparative analysis of recorded and synthetic samples in live-action and animation
音频生成 | 5.7/10
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Optimal Transport Audio Distance with Learned Riemannian Ground Metrics
音频质量评估 | 7.0/10
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JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions
音频质量评估 | 8.5/10
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Deepaq: A Perceptual Audio Quality Metric Based on Foundational Models and Weakly Supervised Learning
音频质量评估 | 7.5/10
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ICASSP 2026 - 音频质量评估
共 1 篇 ICASSP 2026 音频质量评估 方向论文