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English(EN) TokenMapper: A Step Toward Interoperable Speech Token Translation

TokenMapper 实现跨模型直接语音令牌翻译

研究人员开发了 TokenMapper,一个旨在实现不同语音分词器之间直接翻译的框架。这解决了互操作性挑战,即不同的令牌词汇和结构阻止模型直接通信。TokenMapper 通过在共享的有效令牌速率下运行,促进了令牌到令牌的翻译,即使在不匹配的码本表示之间也是如此。与 GLM-4-VoiceMiMiDualCodec 等模型的实验表明,TokenMapper 显著降低了延迟,并保持了与原生重建相当的性能,为对话式语音代理和语音翻译等应用提供了实用的解决方案。 AI

影响 能够实现更多样化的语音人工智能模型之间更无缝的集成和通信,有可能降低语音代理和翻译系统的延迟并提高性能。

排序理由 这是一篇详细介绍语音令牌翻译新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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TokenMapper 实现跨模型直接语音令牌翻译

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这是一篇详细介绍语音令牌翻译新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Tal Kozakov, Tal Rosenwein, Eliya Nachmani ·

    TokenMapper:迈向可互操作语音令牌翻译的一步

    arXiv:2609.12563v1 Announce Type: new Abstract: Neural audio codecs discretize speech into token sequences, but the resulting token spaces differ in vocabulary and codebook structure, preventing direct communication across models. This limitation affects applications such as conv…