English(EN) MGhana-ST: A Low-Resource Speech Translation Dataset for Ghanaian Languages and an Analysis of Multilingual Training Trade-offs

新数据集MGhana-ST面向加纳低资源语言

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-01 04:00

研究人员推出了MGhana-ST，一个专为四种低资源加纳语言（Ga、Twi、Ewe和Fante）设计的语音翻译数据集。该数据集包含配对的音频和英语翻译，并标注了口头和非口头事件，旨在推动非洲语言语音技术的研究。使用Whisper-small模型的实验表明，在数据稀缺的情况下，扁平化多语言训练并未使所有语言受益，与单语言训练相比，一些语言的性能有所下降。 AI

影响该数据集及其分析可以为代表性不足的语言的语音技术未来的研究和开发提供信息。

排序理由该集群描述了一篇介绍数据集和低资源语言多语言训练权衡实验结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Frank Lawrence Nii Adoquaye Acquaye, Eric George Parakal, Jesse Johnson, Kishankumar Bhimani, Jochebed Afua Basil · 2026-10-01 04:00

MGhana-ST：加纳语言的低资源语音翻译数据集及多语言训练权衡分析

arXiv:2609.40041v1 Announce Type: new Abstract: We present MGhana-ST, a speech translation dataset for four low-resource Ghanaian language varieties: Ga, Twi (Akuapem and Asante), Ewe, and Fante. MGhana-ST is an ongoing annotation effort; the experiments here use a fixed subset o…

本文如何被排名

报道来源 [1]

MGhana-ST：加纳语言的低资源语音翻译数据集及多语言训练权衡分析

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