论文解读
FD-ARL: Feature Disentanglement with Adversarial-Reconstruction Learning for Cross-Subject Auditory Attention Decoding
听觉注意力解码 | 7.5/10
领域适应
子标签
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- 测试时自适应 直接 91 篇 · 含子树 91 篇
论文解读
Fine-Tuning Bigvgan-V2 for Robust Musical Tuning Preservation
音乐生成 | 7.5/10
论文解读
Gdiffuse: Diffusion-Based Speech Enhancement with Noise Model Guidance
语音增强 | 7.0/10
论文解读
GLA-GRAD++: An Improved Griffin-Lim Guided Diffusion Model for Speech Synthesis
语音合成 | 7.5/10
论文解读
GLoRIA: Gated Low-Rank Interpretable Adaptation for Dialectal ASR
语音识别 | 8.0/10
会议任务专题
ICASSP 2026 - 领域适应
共 2 篇 ICASSP 2026 领域适应 方向论文
论文解读
Improving Anomalous Sound Detection with Attribute-Aware Representation from Domain-Adaptive Pre-Training
音频事件检测 | 8.0/10
论文解读
Inverse-Hessian Regularization for Continual Learning in ASR
语音识别 | 7.5/10
论文解读
K-Function: Joint Pronunciation Transcription and Feedback for Evaluating Kids Language Function
语音识别 | 7.5/10
论文解读
Learning Domain-Robust Bioacoustic Representations for Mosquito Species Classification with Contrastive Learning and Distribution Alignment
生物声学 | 7.5/10
论文解读
Lightweight and Perceptually-Guided Voice Conversion for Electro-Laryngeal Speech
语音转换 | 7.5/10
论文解读
Medical ASR Enhancement by Domain-Specific Reinforcement Fine-Tuning
语音识别 | 6.5/10
论文解读
MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large Audio-Language Model
语音情感识别 | 8.0/10
论文解读
Optimizing Domain-Adaptive Self-Supervised Learning for Clinical Voice-Based Disease Classification
语音生物标志物 | 7.0/10
论文解读
Proficiency-Aware Adaptation and Data Augmentation for Robust L2 ASR
语音识别 | 6.5/10
论文解读
Ranking The Impact of Contextual Specialization in Neural Speech Enhancement
语音增强 | 7.5/10
论文解读
SLM-TTA: A Framework for Test-Time Adaptation of Generative Spoken Language Models
语音识别 | 7.0/10
论文解读
SONAR: Self-Distilled Continual Pre-Training for Domain Adaptive Audio Representation
音频事件检测 | 7.0/10
论文解读
SSVD-O: Parameter-Efficient Fine-Tuning with Structured SVD for Speech Recognition
语音识别 | 7.0/10
论文解读
Structure-Aware Diffusion Schrödinger Bridge
数据集对齐 | 7.7/10