面向语音识别应用的开源软件演化技术

Open Source Software Evolution Technology for Speech Recognition Applications

为更好地解决开源社区中原资源的应用过度依赖具体的计算环境与背景,无法充分满足个性化需求这一问题,文章根据语音识别应用,借助开源软件演化技术对如何提高开源语音识别模型采集的准确率以及解决开源语音模型的自适应性等问题展开研究,并提出了驱动演化算法。实验结果表明,将开源软件演化技术应用在语音识别过程中具有可行性。

In order to better solve the problem that the application of the original resources in the open source community depends too much on the specific computing environment and background,and can not fully meet the personalized needs,this paper,based on the speech recognition application,uses the evolution technology of Open-source software to study how to improve the accuracy of the open source speech recognition model acquisition and solve the adaptive problems of the open source speech model,and proposes a driven evolution algorithm.The experimental results show that it is feasible to apply Open-source software evolution technology to speech recognition.