论文解读
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
音频分类 | 7.0/10
Iclr-2026
论文解读
SongEcho: Towards Cover Song Generation via Instance-Adaptive Element-wise Linear Modulation
音乐生成 | 7.0/10
论文解读
SpeakerVid-5M: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation
数据集 | 7.5/10
论文解读
Speech World Model: Causal State–Action Planning with Explicit Reasoning for Speech
语音情感识别 语音对话系统 | 9.0/10
论文解读
Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences
语音识别 | 8.5/10
论文解读
SpeechJudge: Towards Human-Level Judgment for Speech Naturalness
模型评估 | 8.0/10
论文解读
SpeechOp: Inference-Time Task Composition for Generative Speech Processing
语音增强 | 7.5/10
论文解读
Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
视频生成 | 8.8/10
论文解读
StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs
语音分词 | 9.0/10
论文解读
STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D Intelligence
音频问答 | 8.5/10
论文解读
Steering Autoregressive Music Generation with Recursive Feature Machines
音乐生成 | 8.0/10
论文解读
STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models
语音对话系统 | 7.5/10
论文解读
SumRA: Parameter Efficient Fine-tuning with Singular Value Decomposition and Summed Orthogonal Basis
语音识别 | 7.5/10
论文解读
SupCLAP: Controlling Optimization Trajectory Drift in Audio-Text Contrastive Learning with Support Vector Regularization
音频检索 | 7.5/10
论文解读
Syncphony: Synchronized Audio-to-Video Generation with Diffusion Transformers
音频生成 | 7.5/10
论文解读
SyncTrack: Rhythmic Stability and Synchronization in Multi-Track Music Generation
音乐生成 | 7.5/10
论文解读
TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization
音频生成 | 8.5/10
论文解读
TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
语音对话系统 | 8.0/10
论文解读
Tell me Habibi, is it Real or Fake?
音频深度伪造检测 | 8.0/10
论文解读
The Deleuzian Representation Hypothesis
模型评估 | 7.5/10