Measuring pronunciation improvement in users of CAPT tool TipTopTalk!

Measuring pronunciation improvement in users of CAPT tool TipTopTalk!. Tejedor, C.; Escudero, D.; Cámara, E.; González Ferreras, C.; and Cardeñoso, V. In Interspeech 2016. Proceedings of the 17th Annual Conference of the Internationational Speech Communication Association, pages 1178-1179, San Francisco, CA, USA. 8-12 September, 2016.

Paper abstract bibtex

We present a L2 pronunciation training serious game based on the minimal-pairs technique, incorporating sequences of exposure, discrimination and production, and using text-to-speech and speech recognition systems. We have measured the quality of users' production during a period of time in order to assess improvement after using the application. Substantial improvement is found among users with poorer initial performance levels. The program's gamification resources manage to engage a high percentage of users. A need is felt to include feedback for users in future versions with the purpose of increasing their performance and avoiding the performance drop detected after protracted use of the tool.

@inproceedings{Tejedor:2016aa,
	Address = {San Francisco, CA, USA. 8-12 September, 2016},
	Author = {Tejedor, Cristian and Escudero, David and Cámara, Enrique and González Ferreras, César and Cardeñoso, Valentín},
	Booktitle = {Interspeech 2016. Proceedings of the 17th Annual Conference of the Internationational Speech Communication Association},
	Date = {2016},
	Date-Added = {2017-03-04 20:42:43 +0000},
	Date-Modified = {2017-03-04 20:54:09 +0000},
	Keywords = {EFL, Spanish, Chinese, CAPT, pronunciation teaching, speech technology},
	Pages = {1178-1179},
	Title = {Measuring pronunciation improvement in users of CAPT tool TipTopTalk!},
	Url = {http://www.isca-speech.org/archive/Interspeech_2016/abstracts/2013.html},
	Abstract = {We present a L2 pronunciation training serious game based on the minimal-pairs technique, incorporating sequences of exposure, discrimination and production, and using text-to-speech and speech recognition systems. We have measured the quality of users' production during a period of time in order to assess improvement after using the application. Substantial improvement is found among users with poorer initial performance levels. The program's gamification resources manage to engage a high percentage of users. A need is felt to include feedback for users in future versions with the purpose of increasing their performance and avoiding the performance drop detected after protracted use of the tool.},
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