论文解读
DiaScriber: A Speech LLM for Joint Diarization and Transcription in Multi-Speaker Scenarios
语音识别 | 7.3/10
强化学习
论文解读
Reasoning-Oriented Post-Training and Inference-Time LoRA Rescaling for Audio-Dependent Question Answering
音频理解 | 8.3/10
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TLive-Omni: An Omni-Modal Understanding Model for E-Commerce Live Streaming
音视频理解 | 10.0/10
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VA-Judger: Reward Modeling from Human Preference Feedback for Joint Video-Audio Generation
音视频生成 | 8.3/10
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DynaForcing: Overcoming Dynamic Collapse in Self-Forcing Distillation for Streaming Avatar Generation
音视频生成 | 8.0/10
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ACE-Cap: Active Evidence Acquisition via Agentic Co-Evolution for Long-Paragraph Fine-Grained Audio Captioning
音频字幕生成 | 7.5/10
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Listen, Reason, and Segment: Aligning LALMs with Editorial Judgment for Media Chapterization
音频理解 | 6.8/10
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VoxAudio: Vocalized Audio Synthesis via Multi-Reward Autoregressive Flow Matching
音频生成 | 8.2/10
论文解读
Luna-TTS Family Technical Report
语音合成 | 6.9/10
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MuseCritic: Learning Multi-Aspect Song Rewards through Natural-Language Aesthetic Critiques
音频质量评估 | 6.5/10
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AudioMap: Cloze-and-Choice Reinforcement Learning for Time-Aware Dense Audio Captioning
音频字幕生成 | 7.9/10
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AVCap: Reinforcing Audio-Video Joint Caption with Detail-Aware Reward
音频字幕生成 | 8.4/10
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EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models
语音情感识别 | 6.2/10
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Listen, See and Track: Spatio-Temporal Audio-Visual Sound Event Reasoning for Omni-Modal Language Models
音视频问答 | 6.7/10
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DDSynth-RL: Audio Synthesizer Inversion via Discrete Diffusion with Reinforcement Learning
音频生成 | 7.0/10
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GROW: Group-Relative Advantage-Weighted On-Policy Reinforcement Learning of Autoregressive-Diffusion Text-to-Speech model
语音合成 | 8.0/10
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Language-Specialized Multi-Teacher On-Policy Distillation for Multilingual LLM-Based ASR
语音识别 | 6.9/10
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Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning
音频理解 | 7.6/10
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Towards More Expressive Spoken LLMs: Fine-Grained Intent Benchmarking and Acoustic-Lexical Decoupled Policy Optimization
语音交互 | 7.2/10
论文解读
Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models
音频理解 | 7.2/10