Real-Time Tone Recognition in A Computer-Assisted Language Learning System for German Learners of Mandarin

摘要

This paper presents an evaluation of tone recognition systems integrated in a computer-assisted pronunciation training system for German learners of Mandarin. Both the reference tone recognition system as well as a recently redesigned tone recognition system contain monotone, bitone and tritone recognizers for isolated monosyllabic and disyllabic words and sentences, respectively. The performance of the reference system and the redesigned tone recognition systems was compared on data from German learners of Mandarin, while varying the feature vector to contain spectral as well as prosodic features. The redesigned tone recognition system matched or outperformed the reference system. For monosyllabic and disyllabic words it improved when spectral features were added to prosodic features. In contrast, results of tone recognition in sentences yielded better results based on prosodic features only.