大数据时代下基于SSM框架的语音标注系统的设计与实现

Design and Implementation of Speech Annotation System Based on SSM Framework in Big Data Era

大数据时代,很多企业进行数据标注时,仍处于手工标注状态,不仅工作量大,而且管理效率低。根据当前一些大型集团公司需要对客服和用户语音记录进行情感分析,需要标注大量语音记录,进行充分设计。采用基于RESTful API的前后端分离的SSM框架完成系统开发,完成音频文件维护和语音标注功能。经测试,设计合理、功能完善、性能良好,达到了系统预期功能,大大提高了语音标注的效率,为后期进行情感分析提供了有效的音频大数据。

In the era of big data,many enterprises are still in the state of manual labeling when labeling data,which is not only heavy workload,but also inefficient in management.According to the current needs of some large group companies for emotional analysis of customer service and user voice records,a large number of voice records need to be tagged and fully designed.SSM framework based on RESTful API is used to complete system development,audio file maintenance and voice annotation.After testing,the design is reasonable,the function is perfect,and the performance is good.It achieves the expected function of the system,greatly improves the efficiency of voice annotation,and provides effective audio data for emotional analysis in the later stage.