计算机工程与科学2023，Vol.45Issue(12)：2155-2164,10.DOI:10.3969/j.issn.1007-130X.2023.12.007
基于领域知识的语音识别鲁棒性增强技术研究
Research on robust speech recognition technology based on domain knowledge
王斐斐 1贲可荣 1张献1
作者信息
- 1. 海军工程大学电子工程学院,湖北 武汉 430032
- 折叠
摘要
Abstract
Due to the decrease in accuracy of speech recognition software in noisy environments,a ro-bust enhancement method based on domain knowledge is proposed to ensure the safety of using speech control operations.Taking ship control as the application background,a domain knowledge graph is es-tablished for ship control.Ship control commands are extracted from nautical books and classic naval warfare film and television materials,and a Chinese speech dataset for ship control commands is con-structed.A domain knowledge-embedded decoding method is proposed to correct the output control commands by calculating the matching degree between the recognition result and the domain knowledge graph.Experimental results show that compared with the current popular connection time sequence classification decoding method and attention mechanism-based decoding method,the proposed decoding method reduces the word error rate by 4.0%and 1.5%when recognizing noisy speech with a signal-to-noise ratio of 10dB and 20dB,respectively,and improves the accuracy of command recognition by 10.3%and 6.3%,respectively,improving the robustness of the speech recognition model in recognizing Chinese commands.关键词
语音识别/知识图谱/舰艇操控/鲁棒性Key words
speech recognition/knowledge graph/ship control/robustness分类
信息技术与安全科学引用本文复制引用
王斐斐,贲可荣,张献..基于领域知识的语音识别鲁棒性增强技术研究[J].计算机工程与科学,2023,45(12):2155-2164,10.
