论文解读
Mitigating Stethoscope-Induced Shortcuts in Respiratory Sound Classification under Federated Domain Generalization with Causality-Inspired Interventions
音频分类 | 8.5/10
多模态模型
论文解读
MusTBENCH: Benchmarking and Advancing Temporal Grounding in Music LLMs
音乐生成 | 7.5/10
论文解读
Native Audio-Visual Alignment for Generation
音频生成 | 7.8/10
论文解读
OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistants
语音识别 | 7.8/10
论文解读
State-Anchored Complete-View Distillation for Robust Conversational Multimodal Emotion Recognition
语音情感识别 | 8/10
论文解读
VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents
语音合成 | 7.9/10
每日研究速递
语音/音乐/音频论文速递 2026-05-29
共分析 20 篇语音/AI 论文
论文解读
A Conflict-Aware Penalty and Statistical Loss Framework for Balancing Modalities and Enhancing Stability in Multimodal Sentiment Analysis
多模态模型 | 6.8/10
论文解读
AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks?
基准测试 | 7.0/10
论文解读
Dasheng AudioGen: A Unified Model for Generating Coherent Audio Scenes from Text
音频生成 | 8.6/10
论文解读
Do Audio LLMs Listen or Read? Analyzing and Mitigating Paralinguistic Failures with VoxParadox
语音情感识别 | 6.8/10
论文解读
EigeNet: Geometry-Informed Multi-Modal Learning for Few-shot Novel View RIR Prediction
多模态模型 | 8/10
论文解读
Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini
语音识别 | 7.9/10
论文解读
MTAVG-Bench 2.0: Diagnosing Failure Modes of Cinematic Expressiveness in Multi-Talker Audio-Video Generation
语音生成 | 9.9/10
论文解读
SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter
语音情感识别 | 8.7/10
论文解读
Unified Synthesis of Compositional Speech and Sound from Free-Form Text Prompts
语音合成 | 8/10
论文解读
Why We Need Speech to Evaluate Speech Translation
语音翻译 | 8.3/10
每日研究速递
语音/音乐/音频论文速递 2026-05-28
共分析 30 篇语音/AI 论文
论文解读
A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learning
多模态模型 | 7.7/10
论文解读
AVBench: Human-Aligned and Automated Evaluation Benchmark for Audio-Video Generative Models
多模态模型 | 9.7/10