SNC：一种高效的无损音频存储茎原码，具备自适应播放能力
SNC: A Stem-Native Codec for Efficient Lossless Audio Storage with Adaptive Playback Capabilities
AI总结：
SNC是一种新型音频编码格式，通过分离音轨和低能耗残差实现高效无损存储，支持自适应播放和空间音频渲染，减少文件大小的同时保持高质量。
摘要：
当前音频格式在文件大小和功能之间存在根本性的权衡：无损格式如FLAC保留了高质量但缺乏适应性，而有损格式通过牺牲保真度来减少文件大小，但不提供音轨级别的访问。我们介绍了Stem-Native Codec（SNC），一种新的音频容器格式，它将音乐存储为独立编码的音轨加一个低能耗的母带残差。通过利用分离音轨比混合音频更低的信息熵，SNC在FLAC（7.76 MB vs. 12.55 MB对于2:18测试曲目）的情况下实现了38.2%的文件大小减少，同时保持了感知透明度（STOI = 0.996）。与现有格式不同，SNC能够实现上下文感知的自适应播放、空间音频渲染和用户可控的混音，而无需额外存储。我们的实验验证表明，音轨加残差架构成功地解耦了压缩效率和特征丰富性之间的冲突，为下一代音频分发系统提供了实用路径。
英文摘要：
Current audio formats present a fundamental trade-off between file size and functionality: lossless formats like FLAC preserve quality but lack adaptability, while lossy formats reduce size at the cost of fidelity and offer no stem-level access.We introduce the Stem-Native Codec (SNC), a novel audio container format that stores music as independently encoded stems plus a low-energy mastering residual. By exploiting the lower information entropy of separated stems compared to mixed audio, SNC achieves a 38.2% file size reduction versus FLAC (7.76 MB vs. 12.55 MB for a 2:18 test track) while maintaining perceptual transparency (STOI = 0.996). Unlike existing formats, SNC enables context-aware adaptive playback, spatial audio rendering, and user-controlled remixing without requiring additional storage. Our experimental validation demonstrates that the stems-plus residual architecture successfully decouples the conflicting requirements of compression efficiency and feature richness, offering a practical path toward next-generation audio distribution systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
