遇见数据集

LATIC: A Non-native Pre-labelled Mandarin Chinese Validation Corpus for Automatic Speech Scoring and Evaluation Task

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DataCite Commons2021-05-25 更新2025-04-16 收录
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资源简介:

LATIC is focusing on non-native Mandarin Chinese learners. It is an annotated non-native speech database for Chinese, which is fully open-source can get online for any purpose use. The related using area can be automatic speech scoring, evaluation, derivation—L2 teaching, Education of Chinese as Foreign Language, etc. We are aiming to provide a relatively small-scale and highly efficient training deviation dataset. For this target, four chosen non-native Chinese speaker participated in this project, and their mother tongue (L1s) varies from Russian, Korean, French and Arabic. It outputs a 1-hour testing audio file (valid recording) for each tester, which has 4 hours of materials. We intend to expand the scale of our current database continuously in the future as well.

LATIC 聚焦于普通话非母语学习者。该数据集是一套经标注的汉语非母语语音数据库,完全开源且可在线获取,适用于各类用途。其相关应用领域包括自动语音评分、语音评估、衍生应用——第二语言教学、对外汉语教学等。本数据集旨在提供一套规模适中且高效的发音偏差训练数据集。为此,本项目招募了四名经遴选的普通话非母语发音者,其母语(第一语言,L1)分别为俄语、韩语、法语与阿拉伯语。每名测试参与者均可获取1小时的有效测试录音音频文件,整套数据集总素材时长共计4小时。我们亦计划在未来持续扩充该数据库的现有规模。

提供机构:
IEEE DataPort
创建时间:
2021-05-25
搜集汇总
数据集介绍
LATIC: A Non-native Pre-labelled Mandarin Chinese Validation Corpus for Automatic Speech Scoring and Evaluation Task 数据集图片
背景与挑战
背景概述
LATIC是一个面向非母语中文学习者的开源、带标注的普通话语音验证语料库,主要用于自动语音评分与评估任务。该数据集目前包含4名不同母语背景(俄语、韩语、法语、阿拉伯语)的参与者,提供了总计4小时(2579个音频样本,平均时长9-10秒)的语音材料,并包含三个层次的详细标注。
以上内容由遇见数据集搜集并总结生成
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