数据采集与处理2017，Vol.32Issue(2)：221-231,11.DOI:10.16337/j.1004-9037.2017.02.002
基于深度学习的语音识别技术现状与展望
Deep Learning for Speech Recognition: Review of State-of-the-Arts Technologies and Prospects
摘要
Abstract
In this paper,deep learning is briefly introduced.Then,a review of the research progress of deep learning based speech recognition is presented from the following five points:Training criterions for deep learning based acoustic models,different model architectures for deep learning based speech recognition acoustic modeling,scalable and distributed optimization methods for deep learning based acoustic model training,speaker adaptation for deep learning based acoustic model,and deep leaning based end-to-end speech recognition.At the end of this paper,the future possible research points of deep learning based speech recognition are also proposed.关键词
深度学习/深度神经网络/语音识别/说话人自适应Key words
deep learning/deep neural network/speech recognition/speaker adaptation分类
信息技术与安全科学引用本文复制引用
戴礼荣,张仕良,黄智颖..基于深度学习的语音识别技术现状与展望[J].数据采集与处理,2017,32(2):221-231,11.基金项目
安徽省科技重大专项(15czz02007)资助项目 （15czz02007）
国家重点研发计划(2016YFB1001300)资助项目. （2016YFB1001300）
