UvA-DARE (Digital Academic Repository) Learning tone distinction for Mandarin Chinese Citation for published version (APA): Learning tone distinctions for Mandarin Chinese

Abstract We describe the SpeakGoodChinese system that supports beginning students of Mandarin Chinese to produce tones correctly (http://speakgoodchinese.org/). Students pronounce a word spelled in pinyin notation and receive feedback from our system on their production of the tones. The novelty in our approach lies in the use of synthetic reference tone(s) produced from the pinyin notation. Preliminary results indicate a 6% rejection rate for six words, read multiple times, by three reference speakers and less than 15% acceptance rate on incorrectly produced tones on shadowed versions of these words by 8 speakers. With speech from 4 reference speakers collected with a fully functional test application, a rejection rate of less than 15% was achieved

MonetDB/MonetDB Jul2017_release

This is the official mirror of the MonetDB Mercurial repository. Please note that we do not accept pull requests on github. The regresession test results can be found on the MonetDB Testweb http://monetdb.cwi.nl/testweb/web/status.php .For contributions please see: https://www.monetdb.org/Developer