Conference Paper A DNN-Based ASR System for the Indonesian Language

ホゥセン, デヴィン  ,  HOESEN, Devin  ,  Price, RyanWilliam  ,  Price, Ryan  ,  DESSI, PUJI LESTARI  ,  Dessi, Puji Lestari  ,  篠田, 浩一  ,  Shinoda, Koichi

This paper presents our work to develop a DNN-based ASR system for the Indonesian language, a language that has limited training data. We evaluate the effectiveness of some common improvements to DNN acoustic models, such as speaker adaptive features and sequence-discriminative training. We also explore incorporating English in the training process as a potential way of reducing WER when the Indonesian training data is very limited.

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