华中师范大学学报（自然科学版）2023，Vol.57Issue(6)：807-812,6.DOI:10.19603/j.cnki.1000-1190.2023.06.006
基于GMM的听障儿童听觉辨识能力机器检测研究
Research on machine detection of hearing recognition ability of hearing impaired children based on GMM
摘要
Abstract
The detection of hearing recognition ability of hearing impaired children mainly adopts the Mandarin version of Lin's seven-tone manual detection method in China,which has problems such as low speed and time-consuming.In response to these problems,a method for machine recognition of the Mandarin version of Lin's seven-tones is proposed to detect hearing impaired children's auditory recognition ability in this paper.A Gaussian Mixture Model is presented,which was trained using the constructed Lin's seven-tone dataset.The comparison experiments with the Hidden Markov Model were provided.And three indicators,i.e.,precision,recall and accuracy are used to evaluate these two models.The experimental results show that the Gaussian mixture algorithm outperforms the hidden Markov algorithm in three indicators,and can better realize the recognition of the Mandarin version of Lin's seven-tone test.关键词
听障儿童/听觉辨识能力/林氏七音测试/高斯混合模型Key words
hearing impaired children/hearing recognition ability/Lin's seven-tones/Gaussian mixture model分类
社会科学引用本文复制引用
徐杰,韩雪晴,廖庆洲,廖盛斌..基于GMM的听障儿童听觉辨识能力机器检测研究[J].华中师范大学学报（自然科学版）,2023,57(6):807-812,6.基金项目
国家自然科学基金项目(62077023,61937001). （62077023,61937001）
