利用支持向量机操作计算机系统的实时增强语音识别技术

Rajkumar Bhosale, Narendra S. Chaudhari
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引用次数: 2

摘要

其中一个动态研究领域是使用支持向量机识别同一说话者所说的单词。口语单词是用来操作计算机系统的,不需要任何输入设备,如鼠标或键盘。拟作的目的是消除使用触摸屏的概念,通过打开或关闭文件等语音命令或任何计算机操作来操作整个计算机系统。该系统减少了人类通过输入设备或触摸屏进行的工作,取得了较好的效果。结果得到了各种机器操作命令,如关机,注销,打开文件等。所提出的工作的实时性被应用于使用语音单词的整个计算机系统的操作。构建实时特征提取数据集的样本用于训练和测试。示例包括在关机、打开ppt、记事本、关闭等实时模式和离线模式下操作机器的英语单词。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real time enhanced speech recognition technique to operate computer system using SVM
One of the dynamic areas of research is to recognize the word spoken by same speaker using support vector machines. The spoken English word is used to operate the computer system without any input device like mouse or keyboard. The aim of the proposed work is to remove the use of touch screen concept and operate the whole computer system through the voice commands like open or close file or any computer operation. The performance of proposed system gives better result with reducing the work of human in terms through input device or touch screen. The results are obtained for various machine operation commands like shutdown, logoff, open file etc. The real time performance of proposed work is applied to operate whole computer system using speech word. Samples of real time feature extracted datasets are constructed for training and testing. The samples include English words to operate machine in real time mode and offline mode such as shutdown, open ppt, notepad, close etc.
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