Applications of robust recognition technology in the foreign language speech assessment system Online publication date: Tue, 01-Dec-2020
by Weibo Huang; Jiejing Lu; Jianghui Liu
International Journal of High Performance Systems Architecture (IJHPSA), Vol. 9, No. 2/3, 2020
Abstract: This study proposes an improved speech assessment algorithm and an improved English (as a foreign language in China) speech assessment system based on robust speech recognition to assess learners' English pronunciation more accurately in noisy environments. In this paper, the traditional assessment framework of English speech recognition system is studied by the literature analysis method and survey research method. At the same time, the principle of speech recognition and robust speech recognition are further studied. Furthermore, the speech assessment algorithm and the system based on the feature compensation algorithm of Vector Taylor Series (VTS) are developed. Finally, the developed system is analysed by perceptual assessment of speech quality (PESQ) and mean opinion score (MOS). The results show that the MOS of the improved English (as the foreign language) speech assessment system is higher and the recognition performance is better than that of the traditional system in the noise conditions.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of High Performance Systems Architecture (IJHPSA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook