普通话Cued Speech语料库

首个包含五位说话者(含听障人士)标注视频的普通话Cued Speech语料库。

arXiv
2023-06-05 更新
浏览 57
多模态cs.CLcs.CVeess.AS
Mandarin CS Corpus

基本信息

模态
多模态
创建/更新时间
2023-06-05

资源简介

普通话Cued Speech语料库

【数据集背景】

本数据集源站标题为《arXiv Query: search_query=&id_list=2306.02596v1&start=0&max_results=1》。源站首次发布:2023-06-05。

【数据内容】

源站原始描述:Cued Speech (CS) is a multi-modal visual coding system combining lip reading with several hand cues at the phonetic level to make the spoken language visible to the hearing impaired. Previous studies solved asynchronous problems between lip and hand movements by a cuer\footnote{The people who perform Cued Speech are called the cuer.}-dependent piecewise linear model for English and French CS. In this work, we innovatively propose three statistical measure on the lip stream to build an interpreta…

【主题与分类】

主题标签:cs.CL、cs.CV、eess.AS。

【适用方向】

多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。

【获取与许可】

源站页面:https://arxiv.org/abs/2306.02596v1

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使用方式

数据集说明

普通话Cued Speech语料库 对应论文数据集(arXiv 预印本)。

数据获取指引

  1. 打开论文页面获取作者与项目信息:https://arxiv.org/abs/2306.02596v1
  2. 论文 Data Availability / Code Availability 章节标注了数据实际托管位置;
  3. 获取到实际数据链接后,按对应平台标准方式下载。

论文摘要:Abstract:Cued Speech (CS) is a multi-modal visual coding system combining lip reading with several hand cues at the phonetic level to make the spoken language visible to the hearing impaired. Previous studies solved asynchronous problems between lip and hand movements by a cuer\footnote{The people who perform Cued Speech are called the cuer.}-dependent piecewise linear model for English and French CS. In this work, we innovatively propose three statistical measure on the lip stream to build an interpretable and generalizable model for predicting hand preceding time (HPT), which achieves cuer-independent by a proper normalization. Particularly, we build the first Mandarin CS corpus comprising annotated videos from five speakers including three normal and two hearing impaired individuals. Consequently, we show that the hand preceding phenomenon exists in Mandarin CS production with significant differences between normal and hearing impaired people. Extensive experiments demonstrate that our model outperforms the baseline and the previous state-of-the-art methods.

论文页面:https://arxiv.org/abs/2306.02596v1

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