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English(EN) BridgeCodec: Mamba Enhanced Neural Audio Codec with Schr\"odinger Bridge at Low Bitrate

BridgeCodec 框架增强神经音频编解码器互操作性

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了 BridgeCodec，一个旨在提高神经音频编解码器之间互操作性的新颖框架。该系统通过在不匹配且冻结的端点之间进行潜在表示的翻译，来解耦通常严格共同训练的编码器-解码器对。这种翻译被构建为薛定谔桥最优传输问题，无需预定义的噪声先验即可实现不同分布之间的鲁棒映射。此外，BridgeCodec 采用 Mamba 增强的 U-Net 架构来有效捕获语音中的长程时间依赖性，即使在极低的比特率下也能展示出卓越的重建和感知质量。 AI

影响 增强了神经音频编解码器的互操作性和效率，可能改进实时通信和音频压缩等应用。

排序理由 该集群包含一篇详细介绍音频编解码器新技术的框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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BridgeCodec 框架增强神经音频编解码器互操作性

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该集群包含一篇详细介绍音频编解码器新技术的框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zijian Lin, Jing Yang, Jinghao Luo, Zhuo Wang, Fan Fan, Zhiyong Wu ·

    BridgeCodec：基于Schr"odinger Bridge的Mamba增强型神经音频编解码器，低比特率表现出色

    arXiv:2610.15453v1 Announce Type: cross Abstract: Neural audio codecs achieve remarkable performance but operate as closed ecosystems with rigidly co-trained encoderdecoder pairs, severely hindering interoperability. To resolve this, we propose BridgeCodec, a versatile framework …

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