基于阈值的英语语音自动识别系统研究  

Research on English Speech Automatic Recognition System Based on Threshold

作　　者：邓丽君[1] 王涛 DENG Lijun;WANG Tao(School of Aviation Management Department,Xi’an Aeronautical Polytechnic Institute,Xi’an,Shanxi 710089,China;Internet Information Center,Xi’an Aeronautical University,Xi’an,Shanxi 710089,China)

机构地区：[1]西安航空职业技术学院航空管理工程学院,陕西西安710089 [2]西安航空学院网络信息中心,陕西西安710089

出　　处：《微型电脑应用》2020年第8期48-50,共3页Microcomputer Applications

基　　金：2018陕西教育科学“十三五”规划课题(SGH18H434);2018西安航空职业技术学院教改课题(18XHJG-022)。

摘　　要：语音识别系统的关键在于噪声的处理,主要包含两个阶段,即基于阈值的噪声检测和降噪处理,主要用于英语等语言的自动识别处理。在噪声检测阶段,系统基于所收集的语音的信噪比(SNR)值自动确定何时提高语音质量;在降噪处理阶段,采用独立分量分析(ICA)和子空间语音增强(SSE)来降低噪声。通过实验证明增强语音的SNR值超过接收到的噪声语音的SNR值约20dB至25dB,降噪程序将语音识别率提高了约15%至25%,因此该系统能够降低噪声对多种噪声环境的影响,提高语音质量,达到英语语音识别的目的。The key to speech recognition system lies in the processing of noise. It mainly consists of two stages, namely threshold-based noise detection and noise reduction processing for automatic recognition processing in English and other languages. During the noise detection phase, the system automatically determines the time to improve speech quality based on the signal-to-noise ratio(SNR) value of the collected speech;in the noise reduction processing phase, independent component analysis(ICA) and subspace speech enhancement(SSE) are used to reduce noise. It is proved by experiments that the SNR value of the enhanced speech exceeds the SNR value of the received noise speech by about 20 dB to 25 dB, and the noise reduction program increases the speech recognition rate by about 15% to 25%, so the system can reduce noise for various noise environments. The impact of improving voice quality achieves the purpose of English speech recognition.

关 键 词：语音识别系统 噪声检测 降噪处理 独立分量分析 语音增强 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]