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English(EN) From Monolingual to Multilingual: Evaluating Mamba for ASR in South African Languages

Mamba 架构在南非语言多语种自动语音识别方面展现出潜力

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员评估了 Mamba 架构在七种南非语言中的自动语音识别（ASR）能力，并将其性能与 Conformer 基线进行了比较。Mamba 在准确性方面与 Conformer 相当，同时所需的计算资源更少，训练速度更快。使用 Mamba 进行多语种训练比单语方法提高了性能，尽管显式的语言信息并未提高领域内准确性，但确实增强了跨语料库的鲁棒性。在低资源环境下的消融研究表明，语言嵌入是有益的，它们充当特定任务的控制向量，而不是捕捉语言相似性。 AI

影响 Mamba 在高效且有效的多语种自动语音识别方面显示出潜力，尤其是在资源匮乏的语言环境中。

排序理由 学术论文，详细介绍了模型在特定语言和任务上的评估。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Mamba 架构在南非语言多语种自动语音识别方面展现出潜力

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学术论文，详细介绍了模型在特定语言和任务上的评估。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Jesujoba O. Alabi, Julian Herreilers, Badr M. Abdullah, Dietrich Klakow ·

    从单一语言到多语言：评估 Mamba 在南非语言中的 ASR 应用

    arXiv:2607.01502v1 Announce Type: new Abstract: Recent advances in automatic speech recognition (ASR) have explored different sequence models, including Conformer-based models and newer state space models such as Mamba. Although prior work has evaluated these architectures in mul…

  2. arXiv cs.CL TIER_1 English(EN) · Dietrich Klakow ·

    从单一语言到多语言：评估 Mamba 在南非语言中的 ASR 应用

    Recent advances in automatic speech recognition (ASR) have explored different sequence models, including Conformer-based models and newer state space models such as Mamba. Although prior work has evaluated these architectures in multiple languages, their effectiveness in African …

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