English(EN) Neyshekar: An Open Persian Read-Speech Corpus for Automatic Speech Recognition

Neyshekar 语料库发布，用于波斯语语音识别

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-15 04:00

一个名为 Neyshekar 的新的开放式波斯语朗读语音语料库已发布，包含超过 62,000 条录音，总计近 100 小时。该语料库旨在涵盖正式和非正式的波斯语、命名实体和较长的发音，由 190 人贡献。数据使用 'shekar' 库进行处理以进行标准化，并包含详细的特征，如录音负荷和信号质量。评估表明，与现有的波斯语数据集相比，Neyshekar 显著降低了 Whisper 和 XLS-R 等自动语音识别架构的词错误率 (WER) 和字符错误率 (CER)。 AI

影响为改进波斯语 ASR 系统提供了宝贵的资源，有望带来更好的语音接口和转录服务。

排序理由该项目是一篇学术论文，详细介绍了一个用于语音识别的新数据集。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Signal score: 12 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该项目是一篇学术论文，详细介绍了一个用于语音识别的新数据集。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Ahmad Amirivojdan, Farzad Nadiri, Abolfazl Alizadeh, Shaghayegh Yaraghi · 2026-09-15 04:00

Neyshekar：一个用于自动语音识别的开放式波斯语读写语料库

arXiv:2609.14542v1 Announce Type: new Abstract: Neyshekar is presented as an open Persian read-speech corpus designed for coverage of both formal and informal language, named entities, and longer utterances. In version 6, 62,279 validated recordings totalling 99.02 hours are prov…

本文如何被排名

报道来源 [1]

Neyshekar：一个用于自动语音识别的开放式波斯语读写语料库

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