Satja: Thai Elderly Speech Corpus for Speech Recognition

被引：0
|
作者：
Prajongjai, Suphunnee [1 ]
Triyason, Tuul [1 ]
Mongkolnam, Pornchai [1 ]
机构：
[1] King Mongkuts Univ Technol Thonburi, Sch Informat Technol, Bangkok, Thailand
来源：
PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON ADVANCES IN INFORMATION TECHNOLOGY (IAIT2018) | 2018年
关键词：
Speech corpus development; Speech recognition system; Thai language; Elderly;
D O I：
10.1145/3291280.3291793
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Thai language is the official language of Thailand. At present, about 70 million speakers are located in Thailand and the southern parts of China, Yunnan, Guizhou, and Guangxi. The Thai language is a tonal language. Thai Language is a challenging language for speech processing technology. Because the Thai spoken language database is limited and also lacks a specific speech corpus, such as a children's speech database, elderly speech, accents spoken in each region, etc. This research develops the Thai elderly speech named Satja meaning is truth of speech. The content of this corpus is a voice command There are 50 speakers, 24 males and 26 females, covering six regions in Thailand, aged 60-85 years. In addition, the database of elderly voice was compared to non-elderly voice. For a model training, we used CMUSphinx and tested with Sphinx4. We found that when the elderly speech was tested with the elderly model, it was more accurate when experimented than the model trained by the non-elderly people.
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页数：7
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