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English(EN) Building an ASR Solution for Training and Assessing Children's Reading

为班巴拉语儿童阅读评估开发新的ASR系统

研究人员开发了一个开源的自动语音识别(ASR)系统,专门用于评估班巴拉语(一种非洲语言)儿童的阅读能力。该系统名为Soloni,基于Fast-Conformer框架构建,与之前的基准相比,显著降低了词错误率和字符错误率。课堂试验表明该应用具有实用性,但对于10岁以下的儿童仍需进一步改进。 AI

影响 这项研究有可能为资源匮乏语言社区的儿童提供更易于获取和可复现的读写能力评估。

排序理由 该集群包含一篇详细介绍新的ASR系统和基准的学术论文。

在 arXiv cs.CL 阅读 →

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为班巴拉语儿童阅读评估开发新的ASR系统

报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Yacouba Diarra, Nouhoum Souleymane Coulibaly, Mamadou Dembele, Aymane Dembele, Michael Leventhal ·

    Building an ASR Solution for Training and Assessing Children's Reading

    arXiv:2606.31508v1 Announce Type: new Abstract: Automatic speech recognition for children's reading remains underdeveloped for most African languages, including Bambara, despite its potential value for reproducible literacy assessment. We present an open-source system for assessi…

  2. arXiv cs.CL TIER_1 English(EN) · Michael Leventhal ·

    Building an ASR Solution for Training and Assessing Children's Reading

    Automatic speech recognition for children's reading remains underdeveloped for most African languages, including Bambara, despite its potential value for reproducible literacy assessment. We present an open-source system for assessing children's reading in Bambara, developed thro…