论文解读
Leveraging Whisper Embeddings For Audio-Based Lyrics Matching
音乐信息检索 | 7.0/10
音频检索
论文解读
MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models
基准测试 | 7.5/10
论文解读
MusiCRS: Benchmarking Audio-Centric Conversational Recommendation
音乐推荐 | 7.5/10
论文解读
Scalable Evaluation for Audio Identification Via Synthetic Latent Fingerprint Generation
音频检索 | 7.0/10
论文解读
Separate this, and all of these Things Around It: Music Source Separation Via Hyperellipsoidal Queries
音乐分离 | 7.0/10
论文解读
Shared Representation Learning for Reference-Guided Targeted Sound Detection
音频事件检测 | 8.5/10
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SLAP: Scalable Language-Audio Pretraining with Variable-Duration Audio and Multi-Objective Training
音频检索 | 8.0/10
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WavLink: Compact Audio–Text Embeddings with a Global Whisper Token
音频检索 | 8.0/10
论文解读
Robust Audio-Text Retrieval via Cross-Modal Attention and Hybrid Loss
音频检索 | 7.5/10
论文解读
ATIR: Towards Audio-Text Interleaved Contextual Retrieval
这篇论文旨在解决现有音频-文本检索方法无法处理查询和文档中音频与文本交错出现（如多轮对话、混合输入）的局限性。为此，作者定义了音频-文本交错上下文检索（ATIR）任务，并构建了一个包含约8.8万对样本的大规模基准。为解决直接应用多模态大语言模型（MLLM）时音频token冗余导致的效率和精度问题，论
论文解读
Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text Retrieval
这篇论文旨在解决当前音频-文本检索模型在**真实、多样化用户查询**下性能下降的问题。作者指出，现有基准测试（如AudioCaps, Clotho）依赖描述性标题式查询，与真实世界中简短、多变的搜索行为（如问题、命令、关键词、排除性查询）存在巨大差距。为此，论文提出了两大核心贡献：1) **Omni