论文解读
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
音频分类 | 7.0/10
模型评估
论文解读
SpeechJudge: Towards Human-Level Judgment for Speech Naturalness
模型评估 | 8.0/10
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
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
The Deleuzian Representation Hypothesis
模型评估 | 7.5/10
论文解读
TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems
模型评估 | 7.0/10
论文解读
WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs
基准测试 | 8.5/10
论文解读
XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models
基准测试 | 9.0/10
论文解读
Audio Video Verbal Analysis (AVVA) for Capturing Classroom Dialogues
音频问答 | 6.0/10
论文解读
HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics
语音识别 | 7.0/10
论文解读
Identifying and typifying demographic unfairness in phoneme-level embeddings of self-supervised speech recognition models
语音识别 | 7.0/10
论文解读
MCPHunt: An Evaluation Framework for Cross-Boundary Data Propagation in Multi-Server MCP Agents
模型评估 | 7.5/10
论文解读
Qualitative Evaluation of Language Model Rescoring in Automatic Speech Recognition
语音识别 | 6.5/10
论文解读
Transformer-Based Rhythm Quantization of Performance MIDI Using Beat Annotations
音乐信息检索 | 8.0/10
论文解读
A Toolkit for Detecting Spurious Correlations in Speech Datasets
模型评估 | 7.0/10
论文解读
Preferences of a Voice-First Nation: Large-Scale Pairwise Evaluation and Preference Analysis for TTS in Indian Languages
语音合成 | 7.5/10
论文解读
PSP: An Interpretable Per-Dimension Accent Benchmark for Indic Text-to-Speech
语音合成 | 9.0/10
论文解读
Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
大语言模型 | 7.5/10