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新的LACE编解码器提高了音频压缩和TTS效率

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了LACE（Layer-Adaptive Codec Encoding），一种新颖的神经音频编解码器方法，旨在降低与高帧率相关的计算成本。与之前使用单一压缩步骤的方法不同，LACE在每个量化层应用独立的压缩步骤，允许进行特定于层的分段边界。在LibriTTS数据集上的实验表明，LACE在重建方面实现了优越的速率-质量权衡，并提高了TTS推理效率，同时保持了高质量的合成。LACE的代码可在ESPnet3编解码器配方中找到。 AI

影响 这种新的编解码器可能带来更高效的语音合成和AI应用中的音频处理。

排序理由 该集群描述了一篇关于新颖音频压缩方法的最新研究论文。

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新的LACE编解码器提高了音频压缩和TTS效率

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Thanapat Trachu, Samuele Cornell, William Chen, Shinji Watanabe ·

    LACE: 动态帧率编解码器的层级压缩

    arXiv:2609.17509v1 Announce Type: cross Abstract: Neural audio codecs are a key component in speech language modeling. However, their high frame rates lead to long sequence lengths, increasing computational costs. Dynamic frame rate codecs mitigate this by reducing the effective …

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    LACE: 动态帧率编解码器的逐层压缩

    Neural audio codecs are a key component in speech language modeling. However, their high frame rates lead to long sequence lengths, increasing computational costs. Dynamic frame rate codecs mitigate this by reducing the effective frame rate using a compression step to merge multi…

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