基於Sphinx 可快速個人化行動數字語音辨識系統 (Quickly Personalizable Mobile Digit Speech Recognition System Based on Sphinx) [In Chinese]

In this paper, we introduce a system for on-line digit speech recognition services. Besides the speech recognition service in our system, we also provide adaptation function to improve the noise-robustness between different environment. In the case of English digit recognition, our recognition system can achieve over 80% accuracy for a specific speaker by using a few adaptation data. We use Sphinx-4 as a speech recognition kernel in our system. Because Sphinx-4 is a system prepared exclusively for researchers, it is a flexible, modular and pluggable framework. We provide our experiment results on AURORA2, EAT and Android device recording. We use AURORA2 database training models that adapt by EAT and Android device recording. The experimental results show we can get high accuracy after a few adaptation. keywords: mobile, speech recognition, personalizable, adapt, noise-robustness, Sphinx Proceedings of the Twenty-Fifth Conference on Computational Linguistics and Speech Processing (ROCLING 2013)