Construction of a Corpus for Elderly Japanese Speech Recognition

被引：0

作者：

Fukuda, Meiko ^{[1
]}

Nishimura, Ryota ^{[1
]}

Kitaoka, Norihide ^{[1
]}

Nishizaki, Hiromitsu ^{[2
]}

Iribe, Yurie ^{[3
]}

机构：

[1] Univ Tokushima, Dept Comp Sci, Tokushima, Japan

[2] Univ Yamanashi, Fac Engn, Grad Sch Interdisciplinary Res, Kofu, Yamanashi, Japan

[3] Aichi Prefectural Univ, Sch Informat Sci & Technol, Nagakute, Aichi, Japan

来源：

2018 IEEE 7TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE 2018) | 2018年

基金：

日本科学技术振兴机构;

关键词：

elderly; Japanese; corpus; speech recognition;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We have constructed a new speech data corpus using the utterances of 144 elderly Japanese people (average age: 81.1), to improve the accuracy of automatic recognition of the speech of old people. For elderly, it is proposed that daily verbal interaction with others help to prevent or restrain progress of dementia. Therefore, developing the nursing robot with sophisticated spoken dialogue system has been expected. However, speech recognition for elderly using standard recognition model is not able to achieve sufficient performance. It is assumed that making the acoustic model of elderly is essential to improve speech recognition for the elderly. Thus, we are continuing to collect more utterances in various parts of Japan, and attempt to construct a new corpus suitable for elderly acoustic features.

引用

页码：687 / 688

页数：2

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