English(EN) ELARSpeech: A 30K-Hour Dataset Across 675 Underrepresented Languages for Long-Tail Multilingual Speech Technologies

新数据集 ELARSpeech 助力 675 种代表性不足语言的 AI 技术

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员推出了 ELARSpeech，这是一个包含 675 种代表性不足语言的 30,000 多小时语音的新数据集。该资源来自濒危语言档案库，旨在解决现有多种语言语音技术中语言长尾代表性不足的问题。使用 ELARSpeech 进行的实验表明，它在将自动语音识别 (ASR) 和文本到语音 (TTS) 功能扩展到这些多样化语言方面具有实用性，并可能从伪标记未标记数据中获益。 AI

影响能够为更广泛的语言开发语音技术，可能提高可访问性和包容性。

排序理由该集群包含一篇详细介绍代表性不足语言新数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Signal score: 14 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍代表性不足语言新数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Sangmin Lee, Yejin Jeon, David Ifeoluwa Adelani · 2026-10-15 04:00

ELARSpeech: 一个包含675种代表性不足语言的30K小时数据集，用于长尾多语言语音技术

arXiv:2610.19388v1 Announce Type: new Abstract: Massively multilingual speech modeling has made remarkable progress in recent years, yet existing training resources and benchmarks still underrepresent much of the linguistic long tail. To address this gap, we introduce ELARSpeech,…

本文如何被排名

报道来源 [1]

ELARSpeech: 一个包含675种代表性不足语言的30K小时数据集，用于长尾多语言语音技术

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