arXiv cs.CL· Sangmin Lee, Yejin Jeon, David Ifeoluwa Adelani·· 3 天前AI 评分33
ELARSpeech：覆盖 675 种低资源语言的 3 万小时多语言语音数据集
ELARSpeech: A 30K-Hour Dataset Across 675 Underrepresented Languages for Long-Tail Multilingual Speech Technologies
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研究者发布 ELARSpeech，一个从濒危语言档案库整理的大规模多语言语音资源，包含 675 种低资源语言、共 30,202 小时语音，融合人工标注与无标注录音。实验显示该数据集可将 ASR 和 TTS 能力扩展至多种低资源语言，伪标注无标注数据还能带来额外提升，但语音表征分析也暴露出当前多语言模型向语言长尾迁移的局限。数据集、训练好的 ASR 与 TTS 模型及完整数据构建流程均已公开。
正文 · 原文
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, a large-scale multilingual speech resource comprising 30,202 hours of speech across 675 underrepresented languages, curated from the Endangered Languages Archive. Combining human-annotated and unlabeled recordings, the corpus spans diverse recording conditions, domains, and language families. Beyond corpus construction, our experiments show how ELARSpeech supports extending ASR and TTS capabilities to diverse underrepresented languages, with further benefits from pseudo-labeling unlabeled data. At the same time, our speech representation analysis reveals remaining limitations in transferring existing multilingual models to the linguistic long tail. Together, ELARSpeech provides both a resource and a testbed for extending multilingual speech technology further into the linguistic long tail. We publicly release the dataset, all trained ASR and TTS models, and the complete data construction pipeline to facilitate research on long-tail multilingual speech technologies.
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Sound (cs.SD) |
| Cite as: | arXiv:2610.19388 [cs.CL] |
| (or arXiv:2610.19388v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.19388 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Sangmin Lee [view email]
[v1]
Wed, 14 Oct 2026 01:32:49 UTC (456 KB)
来源：arXiv cs.CL · arxiv.org