Development of a Vietnamese Large Vocabulary Continuous Speech Recognition System under Noisy Conditions
Quốc Bảo Nguyễn, Van Tuan Mai, Quang Trung Le, Ba Quyen Dam, Van Hai · 2018
In this paper, we first present our effort to collect a 500-hour corpus for Vietnamese read speech. After that, various techniques such as data augmentation, recurrent neural network language model rescoring, language model adaptation, bottleneck feature, system combination are applied to build the speech recognition system. Our final system achieves a low word error rate at 6.9% on the noisy test set.