论文解读
Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models
音频生成 | 7.2/10
论文速递
论文解读
Live Gurbani Tracking: A Benchmark and Reference System for Captioning Sikh Kirtan
音频字幕生成 | 7.4/10
论文解读
MetaPerch: Learning from metadata for bioacoustics foundation models
音频分类 | 9.0/10
论文解读
Music-to-Dance Generation via Atomic Movements
音乐生成 | 7.4/10
论文解读
Rethinking Speech Foundation Model Fine-tuning: Better SFT or Better Match?
语音情感识别 | 6.7/10
论文解读
Self-supervised Speech Comparison for L2 Phone, Rhythm, and Intonation Scoring
音频理解 | 7.7/10
论文解读
Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV Systems
声源定位 | 4.9/10
论文解读
VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement
音频理解 | 6.5/10
每日研究速递
语音/音乐/音频论文速递 2026-07-16
共分析 20 篇语音/AI 论文
论文解读
Audio Diarization: A New Paradigm for Exploring Audio Recordings with Unknown Event Classes
说话人日志 | 4.5/10
论文解读
Audio-Native Speech Recognition with a Frozen Discrete-Diffusion Language Model
语音识别 | 5.7/10
论文解读
Automated Synthesis of Facial Mechanisms for Conversational Animatronic Robots
音频理解 | 5.9/10
论文解读
AutoSIFT: Automatic Style Sifting for Controllable Speech Generation with Arbitrary Style Infilling
语音合成 | 6.5/10
论文解读
ChartGenEval: Corruption-Tested Multi-Dimensional Feedback for Rhythm-Game Chart Generation
音乐生成 | 8.8/10
论文解读
Contrasting statistical patterns in melodic and molecular evolution reveal distinctive constraints in a culturally evolving system
音乐理解 | 8.7/10
论文解读
Do We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters?
语音情感识别 | 7.4/10
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DOA Estimation from One-Bit Magnitude-Only Measurements via Sign-Consistency Optimization
声源定位 | 5.1/10
论文解读
Explainable-by-Design Audio Deepfake Detection via Wiener-Hopf Linear Prediction
语音伪造检测 | 6.1/10
论文解读
HSEmotion Team at the 11th ABAW Challenge: Multi-Task Learning and Ambivalence/Hesitancy Video Recognition
音视频 | 7.9/10
论文解读
Hybrid Continual Learning for Low-Resource Australian Aboriginal Language Identification
语音识别 | 6.3/10