Please use this identifier to cite or link to this item:
|Title:||A phone verification approach to pronunciation quality assessment for spoken language learning||Authors:||Sim, K.C.||Issue Date:||2009||Citation:||Sim, K.C. (2009). A phone verification approach to pronunciation quality assessment for spoken language learning. APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference : 619-622. ScholarBank@NUS Repository.||Abstract:||Computer-assisted language learning (CALL) is a form of computer-based assisted learning used in teaching to facilitate the language learning process. One major aspect of CALL for spoken language learning is the automatic assessment of pronunciation quality. It greatly relies on speech recognition technology to provide gradings for the pronunciation quality of the given input speech. This paper introduces a phone verification approach which allows the detection of mispronunciations at phone level. The detection thresholds can be determined based on the equal error rate (EER) metric using a database containing only native speech. In addition this approach also allows aggregation of assessment scores at sentence and speaker levels by computing the average phone rejection rates. This paper compares three different methods of generating goodness of pronunciation confidence scores. In addition, this paper also examines both unsupervised versus supervised adaptation techniques to improve the verification performance. Experimental results are reported based on the EER metric.||Source Title:||APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference||URI:||http://scholarbank.nus.edu.sg/handle/10635/41844|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 14, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.