每日研究速递
语音/音乐/音频论文速递 2026-05-26
共分析 27 篇语音/AI 论文
论文速递
论文解读
6G Communication Networks Enabling Embodied Agents: Architecture and Prototype
信号处理 | 2.7/10
论文解读
A study on weakly-supervised training approaches for phoneme-level pronunciation scoring
语音识别 | 9.7/10
论文解读
AffectCodec: Emotion-Preserving Neural Speech Codec with Block-Diagonal Residual FSQ
语音编码 | 10/10
论文解读
Articulatory strategy as a source of variation in acoustic vowel dynamics
语音识别 | 8.5/10
论文解读
Broad learning system with robust adaptive kernel
信号处理 | 8.7/10
论文解读
Comprehensive Dataset and Signal Processing Framework for Phonocardiogram-Based Heart Rate and Blood Pressure Estimation
医疗音频 | 8/10
论文解读
Convex Low-resource Accent-Robust Language Detection in Speech Recognition
语音识别 | 7.5/10
论文解读
Copula-Induced Correntropy for Robust Conjugate Gradient Learning
信号处理 | 7/10
论文解读
Cost-Effective Model Evaluation with Meta-Learning
迁移学习 | 5.4/10
论文解读
Diffusion Domain Expansion: Learning to Coordinate Pre-trained Diffusion Models
扩散模型 | 7.4/10
论文解读
Evaluating the Temporal Detection Capability of Integrated Gradients Applied on Sound Classifier
音频分类 | 10/10
论文解读
EvalVerse: Pipeline-Aware and Expert-Calibrated Benchmarking for Professional Cinematic Video Generation
音视频 | 7.1/10
论文解读
Frame-Aligned Fusion of Canary and WavLM for Non-Intrusive Intelligibility Prediction of Hearing-Aid-Processed Speech
语音质量评估 | 10/10
论文解读
MixFake: Benchmarking and Enhancing Audio Deepfake Detection in Diverse Real-world Mixed Audio
音频深度伪造检测 | 10/10
论文解读
Natural Yet Challenging to Detect: Robust In-the-Wild TTS through EMA and Dual-Scoring Prompt Selection -- Submission for WildSpoof 2026 TTS Track
语音合成 | 5.2/10
论文解读
Self-Calibration DOA Estimation for Movable Antenna Systems with Antenna Position Errors
声源定位 | 4/10
论文解读
StepAudio 2.5 Technical Report
统一音频模型 | 8.3/10
论文解读
UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained Assessment
语音质量评估 | 10/10
论文解读
Word-Level Modeling with Alignment-Aware Acoustic Fusion for Text-Assisted Intelligibility Prediction in Listeners with Hearing Loss
语音质量评估 | 7.7/10