老年人日语语音识别新语料库的开发

Y. Iribe, N. Kitaoka, Shuhei Segawa
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引用次数: 7

摘要

为了提高老年人语音识别的准确率,我们构建了一个新的语音数据语料库,使用了100位日本老年人的语音。人形机器人正被开发用于老年人护理之家。与此类机器人的互动有望帮助维持养老院居民的认知能力,并为他们提供陪伴。为了使这些机器人能够通过语音对话与老年人互动,需要一种高性能的老年人语音识别系统。为了开发这样一个系统,我们记录了100名日本老人的讲话,他们大多住在养老院,平均年龄为77.2岁。此前,开发了一个名为S-JNAS的老年人语音语料库,但参与者的平均年龄为67.6岁,但养老院护理的目标年龄在75岁左右,远远高于SJNAS样本。在本文中,我们将我们的新语料库与现有的日语阅读语音语料库JNAS(由成人语音组成)以及上述S-JNAS (JNAS的高级版本)进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of new speech corpus for elderly Japanese speech recognition
We have constructed a new speech data corpus, using the utterances of 100 elderly Japanese people, to improve speech recognition accuracy of the speech of older people. Humanoid robots are being developed for use in elder care nursing homes. Interaction with such robots is expected to help maintain the cognitive abilities of nursing home residents, as well as providing them with companionship. In order for these robots to interact with elderly people through spoken dialogue, a high performance speech recognition system for speech of elderly people is needed. To develop such a system, we recorded speech uttered by 100 elderly Japanese, most of them are living in nursing homes, with an average age of 77.2. Previously, a seniors' speech corpus named S-JNAS was developed, but the average age of the participants was 67.6 years, but the target age for nursing home care is around 75 years old, much higher than that of the SJNAS samples. In this paper we compare our new corpus with an existing Japanese read speech corpus, JNAS, which consists of adult speech, and with the above mentioned S-JNAS, the senior version of JNAS.
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