计算机与数字工程2019，Vol.47Issue(7)：1725-1727,1826,4.DOI:10.3969/j.issn.1672-9722.2019.07.032
Android平台下OpenCL加速的说话人识别系统
Speaker Recognition on Android with OpenCL Accelerate
张竞丹 1韩俊刚1
作者信息
- 1. 西安邮电大学计算机学院 西安 710100
- 折叠
摘要
Abstract
Nowadays,with the rapidly development of Artificial Intelligence in many areas such as images and natural lan?guage processing,and the widespread usage of mobile devices,the living habits of people are changing gradually. Therefore,it has become an inexorable trend of applying the artificial intelligence technology to mobile internet. However,due to the increasing of power dissipation and storage bandwidth caused by intensely computing,the application of the neural network algorithm in mobile devices is facing a great challenge. As a safe and reliable biometric authentication,the applying of speakers identification technolo?gy in speakers identification technology has the unique advantages of convenience and safety. This article proposed that in the An?droid platform,by extracting the speaker＇s Mel-Frequency Cepstral Coefficients(MFCC),using OpenCL to accelerate the speaker identification system based on bp neural network,comparing the efficiency before and after the accelerating via the experiment,it is found that the computation speed can be improved by using OpenCL on the Android platform.关键词
说话人识别/OpenCL/Android/MFCC特征/BP神经网络Key words
speaker recognition/OpenCL/Android/MFCC/BP neural network分类
信息技术与安全科学引用本文复制引用
张竞丹,韩俊刚..Android平台下OpenCL加速的说话人识别系统[J].计算机与数字工程,2019,47(7):1725-1727,1826,4.
