Development of Automatic Speech Recognition Techniques for Elderly Home Support: Applications and Challenges

被引：10

作者：

Vacher, Michel ^{[1
]}

Aman, Frederic ^{[1
]}

Rossato, Solange ^{[2
]}

Portet, Francois ^{[2
]}

机构：

[1] CNRS, GETALP, Lab Informat Grenoble, F-38000 Grenoble, France

[2] Univ Grenoble Alpes, GETALP, Lab Informat Grenoble, F-38000 Grenoble, France

来源：

HUMAN ASPECTS OF IT FOR THE AGED POPULATION: DESIGN FOR EVERYDAY LIFE, ITAP 2015, PT II | 2015年 / 9194卷

关键词：

Automatic speech recognition; Aged voices; Home automation; Vocal command; Distress call; Ambient assisted living; USERS; STATE;

D O I：

10.1007/978-3-319-20913-5_32

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Vocal command may have considerable advantages in terms of usability in the AAL domain. However, efficient audio analysis in smart home environment is a challenging task in large part because of bad speech recognition results in the case of elderly people. Dedicated speech corpora were recorded and employed to adapted generic speech recognizers to this type of population. Evaluation results of a first experiment allowed to draw conclusions about the distress call detection. A second experiments involved participants who played fall scenarios in a realistic smart home, 67% of the distress calls were detected online. These results show the difficulty of the task and serve as basis to discuss the stakes and the challenges of this promising technology for AAL.

引用

页码：341 / 353

页数：13

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