现代电子技术2012，Vol.35Issue(14)：146-148,3.
BP神经网络在评价歌唱艺术嗓音中的应用
Application of BP neural network in evaluation of artistic voice
摘要
Abstract
The singing voices were recorded from 30 young music students who come from Hunan University of Science and Engineering. Their acoustic parameters, such as Fl, F3, F0, vocal range,jitter, disturbance of Fl, disturbance of F3 and average energy were extracted by the way of voice analysis, BP Neural network analysis was used to evaluate the singing voices objectively. The results were then compared with those of the subjective evaluation performed by the experienced professionals. The error between the two evaluation approachs was within 3.4%, The results show that the neural network analysis can be used as an objective instrument to evaluate the singing quality of artistic voices. This is helpful to instruct, select and train professional singers.关键词
艺术嗓音/声学参数/BP神经网络方法/客观评价/共振峰Key words
artistic voice/acoustic parameter/ BP neural network analysis/objective evaluation/ formant分类
信息技术与安全科学引用本文复制引用
李小武,罗兰娥..BP神经网络在评价歌唱艺术嗓音中的应用[J].现代电子技术,2012,35(14):146-148,3.基金项目
国家自然科学基金资助项目(30971698) （30971698）
