论文解读
Automatic Audio Equalization with Semantic Embeddings
语音增强 | 5.8/10
语音增强
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CAPS: A Cascaded Reconstruction Model to Power Saving in Hearables Using Sub-Nyquist Sampling with Bandwidth Extension
语音增强 | 6.6/10
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Towards Array-Invariant Speech Enhancement via Geometry-Aware Dynamic Convolution
语音增强 | 6.3/10
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Listen first: Output-based multi-microphone speech enhancement
语音增强 | 6.4/10
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PolarBM: Complex-valued Boltzmann Machine for Modeling Audio Signals in Polar and Log-polar Coordinates
语音增强 | 5.8/10
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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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Teaching Speech Enhancement Models to Sing: Domain Adaptation from Speech Enhancement to Singing Voice Separation
音乐源分离 | 6.7/10
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Where Speech Enhancement Hurts Recognition: An Inference Time Polar Projection Diagnosis
语音识别 | 6.7/10
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Technical Report for MERL's Real-TSE Challenge Submission
语音分离 | 6.6/10
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It Takes Few to TANGO: A Quantized Distributed Model for Binaural Speech Enhancement
语音增强 | 6.5/10
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It Takes Few to TANGO: A Quantized Distributed Model for Binaural Speech Enhancement
语音增强 | 6.3/10
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Distributed Multichannel Wiener Filtering for Topology-Unconstrained Wireless Acoustic Sensor Networks
语音增强 | 5.1/10
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Flow Matching-Based Speech Source Separation with Best-of-N Biometric Sampling
语音分离 | 4.9/10
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Noisy Environment Adaptation of Neural Speech Codec via Focal Mask and Noise Feature Separation
语音增强 | 5.9/10
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Weakly Guided and Autoregressive Beamformer Parameterization for Generalizable Moving Speaker Extraction in Higher-Order Ambisonics
语音分离 | 4.3/10
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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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Joint Enhancement and Classification using Coupled Diffusion Models of Signals and Logits
语音识别 | 9.3/10
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Listening Through the Noise: Cauchy-Driven Diffusion Bridges for Robust Gastrointestinal Auscultation and Clinical Benchmarking
音频修复 | 7.4/10
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Neural-Inspired Modeling of Auditory Selection and Compensation for Audio-Visual Speech Separation
音视频语音分离 | 6.2/10
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Quaternion Self-Attention with Shared Scores
语音增强 | 6.3/10