杜刚, 朱艳云, 张晨, et al. Research on bad speech recognition technology based on acoustic model[J]. 2019, 32(12): 18-22. DOI: 10.13992/j.cnki.tetas.2019.12.004.
Bad speech recognition technology is an effective means to monitor bad information in high-definition audio and video services. This paper presents a framework for bad speech recognition based on acoustic models. The paper analyzes and describes the implementation methods of three important parts: feature extraction
acoustic model construction and bad speech judgment model. And enumerate the advantages and disadvantages of various methods. It has a high reference value for constructing an efficient bad speech recognition system.