燕山大学学报2017，Vol.41Issue(6)：471-481,11.DOI:10.3969/j.issn.1007-791X.2017.06.001
语音关键词识别系统声学模型构建综述
Acoustic model of automatic speech recognition:a survey
摘要
Abstract
As an important branch of speech recognition, acoustics keywords spotting ( AKS) technology had been paid attention to in the 1990s, which, nowadays, has been applied to many fields such as in-car audio command recognition, robot interaction and special speechs spotting.The overall model and the evaluating index sign of AKS was given in this paper, as well as the acoustic model of ASK, concentrating on application of deep neural network ( DNN) in acoustic model. In the end, the prospects of AKS technology were discussed which believed that DNN-HMM will have more applications in AKS as the mature model, recurrent neural networks ( RNN ) may become a more efficient model relied on its sequence training ability, and the large computation, cloud platform, portable, wearable devices will be the mainstream of ASK technology.关键词
语音关键词识别/动态时间规整/隐马尔科夫/深度神经网络/循环神经网络Key words
acoustics keywords spotting/dynamic time warping/hidden Markov model/deep neural network/support vector machine/recurrent neural networks分类
信息技术与安全科学引用本文复制引用
赵晓群,张扬..语音关键词识别系统声学模型构建综述[J].燕山大学学报,2017,41(6):471-481,11.基金项目
国家自然科学基金资助项目(61271248) （61271248）
