Automatic pronunciation error detection and guidance for foreign language learning

Abstract

We propose an e ective application of speech recognition to foreign language pronunciation learning. The objective of our system is to detect pronunciation errors and provide diagnostic feedback through speech processing and recognition methods. Automatic pronunciation error detection is used for two kinds of mispronunciation, that is mistake and linguistical inheritance. The correlation between automatic detection and human judgement shows its reliability. For the feedback guidance to an erroneous phone, we set up classi ers for the well-recognized articulatory features, the place of articulation and the manner of articulation, in order to identify the cause of incorrect articulation. It provides feedback guidance on how to correct mispronunciation.