基于PIFA的语音识别系统评测平台  

PIFA-based Evaluation Platform for Speech Recognition System

作　　者：崔阳[1] 刘长红[2] CUI Yang;LIU Chang-hong(College of Applied Technology,China University of Labor Relations,Beijing 100048,China;College of Computer Information Engineering,Jiangxi Normal University,Nanchang 330022,China)

机构地区：[1]中国劳动关系学院应用技术学院,北京100048 [2]江西师范大学计算机信息工程学院,南昌330022

出　　处：《计算机科学》2020年第S02期638-641,共4页Computer Science

基　　金：中国劳动关系学院科研项目(20XYJS004);国家自然科学基金项目(61662030)。

摘　　要：语音识别技术的应用领域众多,而语音识别系统的性能评测对语音识别技术的发展起着重要的推动作用。为了能够更好地对比各类语音系统的性能,在总结现有各种语音识别评测方法的基础上,提出了一种基于性能影响因素分析(PIFA)的语音识别平台体系结构,并据此开发了一个通用的语音识别系统评测平台。该平台以评测库和评测项目为核心概念,包含评测数据生成、数据分析、性能评价指标计算和性能影响因素分析等主要模块,能够面向多种任务和多种语音数据对语音识别系统性能进行快速、准确的自动化评价,尤其适用于大词汇量、连续性的语音识别情景。评测结果可以由平台加以统计分析,揭示各数据属性对识别系统性能的影响,指导语音识别系统的改进和提高。There are many application fields of speech recognition technology,and the performance evaluation of the speech recognition system plays an important role in promoting the development of speech recognition technology.PIFA(Performance Influen-cing Factor Analysis)based architecture of evaluation platform for speech recognition system is proposed by summarizing va-rious existing speech recognition evaluation methods to compare the performance of various speech systems better,and a platform with PIFA is implemented.The platform involves two key concepts,evaluation database and evaluation project,and includes mo-dules of evaluation data generation,data analysis,performance evaluation index calculation and performance influencing factors analysis.It can deal with multiple recognition tasks and many kinds of data,especially for speech recognition with large vocabulary and continuity.The evaluation results can be statistically analyzed by the platform to reveal the influence of various data attri-butes on the performance of the recognition system,and help the improvement of the speech recognition system.

关 键 词：语音识别 PIFA 评测库 评测项目 性能影响因素分析 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]