Comparing Speech and Text Classification on ICNALE
Sergiu Nisioi · 2016
In this paper we explore and compare a speech and text classification approach on a corpus of native and non-native English speakers.We experiment on a subset of the International Corpus Network of Asian Learners of English containing the recorded speeches and the equivalent text transcriptions.Our results suggest a high correlation between the spoken and written classification results, showing that native accent is highly correlated with grammatical structures found in text.