论文解读
A Bayesian Approach to Singing Skill Evaluation Using Semitone Pitch Histogram and MCMC-Based Generated Quantities
音乐理解 | 7.0/10
模型评估
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- 模型比较 直接 130 篇 · 含子树 130 篇
论文解读
A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks
语音对话系统 | 7.5/10
论文解读
A Superb-Style Benchmark of Self-Supervised Speech Models for Audio Deepfake Detection
音频深度伪造检测 | 7.0/10
论文解读
A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systems
模型评估 | 7.5/10
论文解读
Acoustic Non-Stationarity Objective Assessment with Hard Label Criteria for Supervised Learning Models
音频分类 | 7.0/10
论文解读
Adaptive Spectral Weighting in Sagittal-Plane Sound Localization: A Reliability-Driven Approach
声源定位 | 6.5/10
论文解读
Aligning Generative Speech Enhancement with Perceptual Feedback
语音增强 | 7.5/10
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AR&D: A Framework for Retrieving and Describing Concepts for Interpreting AudioLLMs
音频大模型 | 6.5/10
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Assessing Identity Leakage in Talking Face Generation: Metrics and Evaluation Framework
说话人脸生成 | 7.5/10
论文解读
Attention-Based Encoder-Decoder Target-Speaker Voice Activity Detection for Robust Speaker Diarization
说话人分离 | 8.0/10
论文解读
Attentive AV-Fusionnet: Audio-Visual Quality Prediction with Hybrid Attention
音视频 | 7.0/10
论文解读
Auditory Illusion Benchmark for Large Audio Language Models
模型评估 | 7.0/10
论文解读
Automatic Estimation of Speaker Diarization Error Rate Based on Features of Audio Quality and Speaker Discriminability
说话人分离 | 7.5/10
论文解读
AVO-65: A Large-Scale Hierarchical Audio-Visual Object Dataset
音视频 | 7.0/10
论文解读
Benchmarking Humans And Machines On Complex Multilingual Speech Understanding Tasks
音频问答 | 7.5/10
论文解读
Benchmarking Music Autotagging with MGPHot Expert Annotations vs. Generic Tag Datasets
音乐信息检索 | 7.5/10
论文解读
Break-the-Beat! Controllable MIDI-to-Drum audio synthesis
音乐生成 | 7.5/10
论文解读
BridgeCode: A Dual Speech Representation Paradigm for Autoregressive Zero-Shot Text-to-Speech Synthesis
语音合成 | 8.0/10
论文解读
BSMP-SENet:Band-Split Magnitude-Phase Network for Speech Enhancement
语音增强 | 7.0/10
论文解读
Can Hierarchical Cross-Modal Fusion Predict Human Perception of AI Dubbed Content?
模型评估 | 6.0/10