计算机应用研究2017，Vol.34Issue(8)：2241-2246,6.DOI:10.3969/j.issn.1001-3695.2017.08.001
深度学习在语音识别中的研究进展综述
Overview of speech recognition based on deep learning
摘要
Abstract
In the era of big data, many of traditional machine learning methods of disposing unlabeled raw voice data have become less applicable.At the same time, deep learning models can directly process unlabeled data because of its powerful capability of modeling to deal with the massive data, and has become a hot research in the field of speech recognition.To begin with, this paper analyzed and summarized the state-of-the-art deep learning of models.And then,it discussed the applications to speech recognition with speech features extraction and acoustic modeling.Finally,it concluded the problems faced and development orientation.关键词
机器学习/深度学习/语音数据/语音识别Key words
machine learning/deep learning/voice data/speech recognition分类
信息技术与安全科学引用本文复制引用
侯一民,周慧琼,王政一..深度学习在语音识别中的研究进展综述[J].计算机应用研究,2017,34(8):2241-2246,6.基金项目
国家自然科学基金资助项目(61403075) （61403075）
吉林省科技发展计划资助项目(20150414051GH) （20150414051GH）
