计算机应用与软件2024，Vol.41Issue(5)：126-130,5.DOI:10.3969/j.issn.1000-386x.2024.05.020
基于双微麦克风阵列与Wide ResNet网络的语音命令词识别
SPEECH COMMAND WORD RECOGNITION BASED ON DUAL MICRO MICROPHONE ARRAY AND WIDE RESNET
摘要
Abstract
In order to improve the robustness of speech recognition in noise environment,a speech recognition algorithm based on wide residual deep neural network is proposed.The algorithm combined the dual micro microphone array system,and the voice data set was the dual micro microphone data set.The power normalized cepstrum coefficient was used as the characteristic parameter to input into the residual network for training.Experimental results show that,compared with the Resnet15 model and Resnet18 model,the wide ResNet with only three residual modules has higher accuracy in the recognition of speech command words and the internal and external speaker detection task under noise environment,both reaching more than 95％.关键词
语音识别/宽残差神经网络/功率归一化倒谱系数/双微麦克风阵列Key words
Speech recognition/Wide ResNet/Power normalized cepstrum coefficient/Dual micro microphone array分类
信息技术与安全科学引用本文复制引用
祁潇潇,曾庆宁,赵学军..基于双微麦克风阵列与Wide ResNet网络的语音命令词识别[J].计算机应用与软件,2024,41(5):126-130,5.基金项目
国家自然科学基金项目(61961009) （61961009）
广西自然科学基金重点项目(2016GXNSFDA380018) （2016GXNSFDA380018）
广西无线宽带通信与信号处理重点实验室基金项目(GXKL06200107). （GXKL06200107）
