摘要
随着互联网技术的不断发展,语音识别、语音翻译等在生活中普遍应用。以现有基于互联网构建的语音识别技术为基础,对其原理进行分析,语音命令转换器利用离线数据库进行语音降噪处理,识别采集的语音信息并转换形成文本信息,与数据库的特定数据指令进行匹配,再按照指令格式输出用于试验训练,以提高采集信息的时效性。
With the continuous development of Intemet technology,the speech recognition,speech translation,etc.have greatly widely used in life.Based on the existing speech recognition technology built on the Intemet,its principle is analyzed.The voice command converters take advantage of offiine databases to recognize the speech information after speech noise reduction,and the collected speech information is transformed into text information.The text information is matched with the specific data instruction of the database,and output in accordance with the instruction format for experimental training,so as to improve the timeliness of the collection information.
作者
周瑞岩
ZHOU Ruiyan(Unit 91404,PLA,Qinhuangdao Hebei 066000,China)
出处
《计算机与网络》
2018年第23期60-61,67,共3页
Computer & Network
关键词
降噪
音频采集
语音识别
语义分析
命令翻译
数据库
noise reduction
audio sampling
speech recognition
semantic analysis
command translation
database