论文解读
SONAR: Self-Distilled Continual Pre-Training for Domain Adaptive Audio Representation
音频事件检测 | 7.0/10
自监督学习
论文解读
Sparse Autoencoders Make Audio Foundation Models More Explainable
模型评估 | 6.5/10
论文解读
Sparse-View Visual-Acoustic Latent Learning for Novel-View Audio Synthesis
空间音频 | 7.5/10
论文解读
Spatially Aware Self-Supervised Models for Multi-Channel Neural Speaker Diarization
说话人分离 | 8.0/10
论文解读
Speech Quality-Based Localization of Low-Quality Speech and Text-to-Speech Synthesis Artefacts
语音质量评估 | 7.0/10
论文解读
STACodec: Semantic Token Assignment for Balancing Acoustic Fidelity and Semantic Information in Audio Codecs
语音识别 | 8.0/10
论文解读
Temporal Distillation for Music Representation Learning
音乐信息检索 | 7.5/10
论文解读
Temporal Graph Modeling for Speech Emotion Recognition Using LSTM-Aggregated Multigraph Networks
语音情感识别 | 7.5/10
论文解读
Temporally Heterogeneous Graph Contrastive Learning for Multimodal Acoustic Event Classification
音频事件检测 | 8.5/10
论文解读
The Curious Case of Visual Grounding: Different Effects for Speech-and Text-Based Language Encoders
模型评估 | 8.0/10
论文解读
The Role of Prosodic and Lexical Cues in Turn-Taking with Self-Supervised Speech Representations
语音对话系统 | 7.5/10
论文解读
Timbre-Based Pretraining with Pseudo-Labels for Multi-Instrument Automatic Music Transcription
音乐信息检索 | 7.0/10
论文解读
TinyMU: A Compact Audio-Language Model for Music Understanding
音乐理解 | 7.5/10
论文解读
Toward Faithful Explanations in Acoustic Anomaly Detection
音频事件检测 | 7.5/10
论文解读
Towards Blind Data Cleaning: A Case Study in Music Source Separation
音乐信息检索 | 7.0/10
论文解读
Towards Building Speech Large Language Models for Multitask Understanding in Low-Resource Languages
语音识别 | 6.5/10
论文解读
Towards Lightweight Adaptation of Speech Enhancement Models in Real-World Environments
语音增强 | 8.5/10
论文解读
Understanding the Strengths and Weaknesses of SSL Models for Audio Deepfake Model Attribution
音频深度伪造检测 | 7.0/10
论文解读
Unsupervised Lexicon Learning from Speech is Limited by Representations Rather than Clustering
语音发现 | 8.0/10
论文解读
VBx for End-to-End Neural and Clustering-Based Diarization
说话人分离 | 8.5/10