Considering the difficulty of using the Gaussian mixture model(GMM) to adequately describe the correlation and independence hypothesis of the Mongolian acoustic features in the acoustic modeling of Mongolian speech recognition, this study investigates an acoustic model based on deep neural network(DNN). Firstly, using DNN, the internal structure of phonetic features were classified and learned to extract the Mongolian acoustic features, and a DNNHMM Mongolian acoustic model was constructed. Secondly, a trai...
【基金】
国家自然科学基金项目(61762070,61650205)
【更新日期】
2018-05-22
【分类号】
TN912.34;TP183
【正文快照】
Mongolian acoustic modeling based on deep neural networkMA Zhiqiang,LI Tuya,YANG Shuangtao,ZHANG Li(School of Data Science&Application,Inner Mongolia University of Technology,Hohhot 010080,China)典型的大词汇量连续语音识别系统(large voca-bulary continuous
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