Language Identification Using Time Delay Neural Network D-Vector on Short Utterances

摘要

This paper describes d-vector language identification (LID) system on short utterances using time delay neural network (TDNN) acoustic model for the speech recognition task. The acoustic TDNN model is chosen for ASR system of ICQ messenger and it's applied for the LID task. We compared LID TDNN d-vector results to i-vector baseline. It was found that the TDNN system performance is close at any durations while i-vector shows good results only at long time. Open-set test is conducted. Relative improvement of 5.5% over the i-vector system is shown.